diff --git a/README.md b/README.md index c0dbc4c..53a325f 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ Práctica de minería de datos sobre 3 tipos de algoritmos de predicción, usand * Machine learning con **SVC**: en script `predictor-ml.py` * Ensemble con **RandomForest**: en script `predictor-en.py` -* DeepLearning con **DNN**: en script `predictor-dl.py` +* DeepLearning con **DNN**: en notebooks `predictor-dl.ipynb` y con la última ejecución: `predictor-dl-outputs.ipynb` El objetivo de la predicción es evaluar si un canto de ave pertenece a alguna de las especies observadas en el entrenamiento. @@ -112,9 +112,8 @@ Este archivo se usa para evitar el reprocesamiento de los audios para extraer lo #### DeepLearning con **DNN** -```shell -$ python predictor-dl.py -``` +En este caso, se utiliza un notebook jupyter. El notebook es `predictor-dl.ipynb`. En nuestro caso +utilizamos tanto PyCharm como VSCode para procesarlo y ejecutarlo. +El modelo entrenado se almacena en la ruta: `./data/DL_model_birds.h5`. -La primera vez que se ejecuta, crea un archivo del modelo `./data/birds_data_dcnn.csv`. -Este archivo se usa para evitar el reprocesamiento de los espectogramas. +Para ver los últimos cálculos generados, se debe cargar el notebook `predictor-dl-outputs.ipynb`. diff --git a/features_ext_svm.ipynb b/features_ext_svm.ipynb new file mode 100644 index 0000000..ab98d22 --- /dev/null +++ b/features_ext_svm.ipynb @@ -0,0 +1,784 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import os\n", + "import librosa\n", + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.svm import SVC\n", + "from sklearn.metrics import accuracy_score, classification_report\n", + "from sklearn.metrics import confusion_matrix\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.model_selection import cross_val_score\n", + "from imblearn.over_sampling import SMOTE\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Acrocephalus arundinaceus\n", + "Acrocephalus melanopogon\n", + "Acrocephalus scirpaceus\n", + "Alcedo atthis\n", + "Anas platyrhynchos\n", + "Anas strepera\n", + "Ardea purpurea\n", + "Botaurus stellaris\n", + "Charadrius alexandrinus\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dandr\\anaconda3\\envs\\mining\\lib\\site-packages\\librosa\\feature\\spectral.py:2143: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels.\n", + " mel_basis = filters.mel(sr=sr, n_fft=n_fft, **kwargs)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ciconia ciconia\n", + "Circus aeruginosus\n", + "Coracias garrulus\n", + "Dendrocopos minor\n", + "Fulica atra\n", + "Gallinula chloropus\n", + "Himantopus himantopus\n", + "Ixobrychus minutus\n", + "Motacilla flava\n", + "Porphyrio porphyrio\n", + "Tachybaptus ruficollis\n" + ] + } + ], + "source": [ + "audio_folder = r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_files\"\n", + "data = []\n", + "# Recorremos las subcarpetas de \"audio_files\"\n", + "for bird_folder in os.listdir(audio_folder):\n", + " print(bird_folder)\n", + " # Obtenemos el nombre del pajaro\n", + " bird_name = bird_folder\n", + "\n", + " # Recorremos los archivos de la subcarpeta\n", + " for file in os.listdir(os.path.join(audio_folder, bird_folder)):\n", + " if file.endswith(\".mp3\"):\n", + " # Cargamos el archivo de audio y el archivo de texto\n", + " audio_path = os.path.join(audio_folder, bird_folder, file)\n", + " text_path = os.path.join(audio_folder, bird_folder, file.replace(\".mp3\", \".txt\"))\n", + "\n", + " # Cargamos el audio con librosa\n", + " y, sr = librosa.load(audio_path)\n", + "\n", + " # Leemos el archivo de texto y cortamos el audio\n", + " with open(text_path, \"r\") as f:\n", + " for line in f:\n", + " start_time, end_time, label = line.strip().split(\"\\t\")\n", + " start_frame = librosa.time_to_samples(float(start_time))\n", + " end_frame = librosa.time_to_samples(float(end_time))\n", + " cut_audio = y[start_frame:end_frame]\n", + "\n", + " if len(cut_audio) > 0:\n", + " # Calcular la longitud de la ventana y el salto de forma proporcional al tamaño del audio cortado\n", + " window_length = len(cut_audio) // 4 # Puedes ajustar el factor como creas conveniente\n", + " hop_length = window_length // 4 # Puedes ajustar el factor como creas conveniente\n", + "\n", + " mfcc = librosa.feature.mfcc(y=cut_audio, sr=sr, n_mfcc=13, n_fft=window_length, hop_length=hop_length)\n", + " zcr = librosa.feature.zero_crossing_rate(y=cut_audio, frame_length=window_length, hop_length=hop_length)\n", + " spectral_centroid = librosa.feature.spectral_centroid(y=cut_audio, sr=sr, n_fft=window_length, hop_length=hop_length)\n", + " spectral_flux = librosa.onset.onset_strength(S=librosa.feature.melspectrogram(y=cut_audio, sr=sr, n_fft=window_length, hop_length=hop_length))\n", + " spectral_bandwidth = librosa.feature.spectral_bandwidth(y=cut_audio, sr=sr, n_fft=window_length, hop_length=hop_length)\n", + " energy = librosa.feature.rms(y=cut_audio, frame_length=window_length, hop_length=hop_length)\n", + "\n", + " zcr = zcr.reshape(-1, 1)\n", + " spectral_centroid = spectral_centroid.reshape(-1, 1)\n", + " spectral_flux = spectral_flux.reshape(-1, 1)\n", + " spectral_bandwidth = spectral_bandwidth.reshape(-1, 1)\n", + " energy = energy.reshape(-1, 1)\n", + "\n", + " features = np.concatenate((zcr, spectral_centroid, spectral_flux, spectral_bandwidth, energy, mfcc.T), axis=1)\n", + "\n", + " for f in features:\n", + " row = f.tolist()\n", + " row.append(bird_name)\n", + " data.append(row)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def count_files_in_subfolders(main_folder):\n", + " subfolder_counts = {}\n", + " # root is the current directory path\n", + " # dirs is a list of subdirectories in the current directory\n", + " # files is a list of files in the current directory\n", + " for root, dirs, files in os.walk(main_folder):\n", + " # Count only in subfolders, not in the main folder itself\n", + " if root != main_folder:\n", + " mp3_files = [file for file in files if file.endswith(\".mp3\")]\n", + " subfolder_name = os.path.basename(root)\n", + " subfolder_counts[subfolder_name] = len(mp3_files)\n", + " return subfolder_counts\n", + "\n", + "\n", + "def plot_histogram(subfolder_counts):\n", + " # Extract counts and subfolder names\n", + " sorted_subfolders = sorted(subfolder_counts.items(), key=lambda x: x[1], reverse=True)\n", + "\n", + " # Extract counts and subfolder names after sorting\n", + " counts = [count for subfolder, count in sorted_subfolders]\n", + " subfolders = [subfolder for subfolder, count in sorted_subfolders]\n", + "\n", + " # Plot histogram\n", + " plt.figure(figsize=(12, 6))\n", + " bars = plt.bar(subfolders, counts, color='mediumturquoise', edgecolor='lightseagreen')\n", + " plt.xlabel('Bird Names')\n", + " plt.ylabel('Number of Records')\n", + " plt.title('Number of Records for Birds', weight='bold')\n", + " plt.xticks(rotation=45, ha='right')\n", + "\n", + " # Add counts above each bar\n", + " for bar, count in zip(bars, counts):\n", + " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), str(count),\n", + " ha='center', va='bottom')\n", + "\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "# Replace 'your_main_folder_path' with the path to your main folder\n", + "main_folder_path = r'C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_files'\n", + "\n", + "# Count files in subfolders\n", + "subfolder_counts = count_files_in_subfolders(main_folder_path)\n", + "\n", + "# Plot histogram with bars ordered in descending order and counts above each bar\n", + "plot_histogram(subfolder_counts)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# create a dataframe with the features\n", + "columns = ['zero_crossing_rate', 'spectral_centroid', 'spectral_flux', 'spectral_bandwidth',\n", + " 'energy']\n", + "columns.extend(['mfcc_{}'.format(i) for i in range(13)])\n", + "columns.append('label')\n", + "\n", + "df_feat = pd.DataFrame(data, columns=columns)\n", + "df_feat.to_csv(r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\birds_song_features.csv\", index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Read the dataset of the features extracted previously as pandas dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
zero_crossing_ratespectral_centroidspectral_fluxspectral_bandwidthenergymfcc_0mfcc_1mfcc_2mfcc_3mfcc_4mfcc_5mfcc_6mfcc_7mfcc_8mfcc_9mfcc_10mfcc_11mfcc_12label
00.1183512712.2657120.0000001492.2151490.009571-159.95440748.081062-88.68740140.23156432.134190-21.364832-10.42644216.711760-5.212798-12.7750893.9815158.670467-11.643007Acrocephalus arundinaceus
10.1780202756.9324850.0000001574.7052330.014396-134.86132847.345406-84.61436535.67528226.029396-23.277294-9.95434016.837711-3.478797-13.0440922.40905910.071982-12.861805Acrocephalus arundinaceus
20.2447242813.8800280.0000001529.3073620.014778-130.19967737.930416-88.49414134.57059520.474033-25.950497-5.23962819.985954-0.095222-11.0795094.81268510.298313-10.691683Acrocephalus arundinaceus
30.2598423059.3332910.3880161823.5574840.013585-136.70239335.381226-65.29528841.84843415.442682-18.1000021.14571818.6334135.023622-6.7896186.82659014.270391-5.846300Acrocephalus arundinaceus
40.2581763603.3012850.5851872059.7915830.022377-157.41534429.678467-38.21621743.706772-5.005262-11.10096912.8797408.975576-0.857690-1.7212994.01420310.099804-2.637583Acrocephalus arundinaceus
\n", + "
" + ], + "text/plain": [ + " zero_crossing_rate spectral_centroid spectral_flux spectral_bandwidth \\\n", + "0 0.118351 2712.265712 0.000000 1492.215149 \n", + "1 0.178020 2756.932485 0.000000 1574.705233 \n", + "2 0.244724 2813.880028 0.000000 1529.307362 \n", + "3 0.259842 3059.333291 0.388016 1823.557484 \n", + "4 0.258176 3603.301285 0.585187 2059.791583 \n", + "\n", + " energy mfcc_0 mfcc_1 mfcc_2 mfcc_3 mfcc_4 \\\n", + "0 0.009571 -159.954407 48.081062 -88.687401 40.231564 32.134190 \n", + "1 0.014396 -134.861328 47.345406 -84.614365 35.675282 26.029396 \n", + "2 0.014778 -130.199677 37.930416 -88.494141 34.570595 20.474033 \n", + "3 0.013585 -136.702393 35.381226 -65.295288 41.848434 15.442682 \n", + "4 0.022377 -157.415344 29.678467 -38.216217 43.706772 -5.005262 \n", + "\n", + " mfcc_5 mfcc_6 mfcc_7 mfcc_8 mfcc_9 mfcc_10 mfcc_11 \\\n", + "0 -21.364832 -10.426442 16.711760 -5.212798 -12.775089 3.981515 8.670467 \n", + "1 -23.277294 -9.954340 16.837711 -3.478797 -13.044092 2.409059 10.071982 \n", + "2 -25.950497 -5.239628 19.985954 -0.095222 -11.079509 4.812685 10.298313 \n", + "3 -18.100002 1.145718 18.633413 5.023622 -6.789618 6.826590 14.270391 \n", + "4 -11.100969 12.879740 8.975576 -0.857690 -1.721299 4.014203 10.099804 \n", + "\n", + " mfcc_12 label \n", + "0 -11.643007 Acrocephalus arundinaceus \n", + "1 -12.861805 Acrocephalus arundinaceus \n", + "2 -10.691683 Acrocephalus arundinaceus \n", + "3 -5.846300 Acrocephalus arundinaceus \n", + "4 -2.637583 Acrocephalus arundinaceus " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "feat_path = r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\birds_song_features.csv\"\n", + "df_feat: pd.DataFrame = pd.read_csv(feat_path, sep=',', engine='python')\n", + "df_feat = df_feat.reset_index(drop=True)\n", + "df_feat.shape\n", + "df_feat.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Training the Support Vector Machine (SVM)\n", + "X = df_feat.drop(columns=['label'])\n", + "y = df_feat['label']\n", + "\n", + "# Encode labels to numerical values\n", + "label_encoder = LabelEncoder()\n", + "y_encoded = label_encoder.fit_transform(y)\n", + "\n", + "# Split the dataset into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y_encoded, test_size=0.3, random_state=42)\n", + "\n", + "# Standardize the features because the SVM model is very sensitive to the scale of the variables\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)\n", + "\n", + "# Train an SVM classifier with scaled features\n", + "svm_model = SVC(kernel='linear', C=1.0, random_state=42)\n", + "svm_model.fit(X_train_scaled, y_train)\n", + "\n", + "# Evaluate the SVM model\n", + "y_pred_test = svm_model.predict(X_test_scaled)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El Reporte de clasificación proporciona varias métricas para cada clase y un resumen general de su modelo de clasificación multiclase." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy - Testing data: 0.7238502238502238 \n", + " precision recall f1-score support\n", + "\n", + "Acrocephalus arundinaceus 0.71 0.82 0.76 2225\n", + " Acrocephalus melanopogon 0.57 0.58 0.57 1114\n", + " Acrocephalus scirpaceus 0.70 0.58 0.63 635\n", + " Alcedo atthis 0.80 0.82 0.81 2127\n", + " Anas platyrhynchos 0.60 0.51 0.55 354\n", + " Anas strepera 0.69 0.64 0.67 477\n", + " Ardea purpurea 0.53 0.44 0.48 1033\n", + " Botaurus stellaris 0.89 0.97 0.93 2245\n", + " Charadrius alexandrinus 0.54 0.68 0.60 1969\n", + " Ciconia ciconia 0.79 0.72 0.75 625\n", + " Circus aeruginosus 0.60 0.52 0.56 1595\n", + " Coracias garrulus 0.54 0.56 0.55 1317\n", + " Dendrocopos minor 0.90 0.93 0.92 2526\n", + " Fulica atra 0.69 0.78 0.73 1933\n", + " Gallinula chloropus 0.57 0.41 0.48 1345\n", + " Himantopus himantopus 0.59 0.52 0.55 1419\n", + " Ixobrychus minutus 0.90 0.92 0.91 2832\n", + " Motacilla flava 0.83 0.75 0.79 1988\n", + " Porphyrio porphyrio 0.66 0.64 0.65 940\n", + " Tachybaptus ruficollis 0.70 0.57 0.63 785\n", + "\n", + " accuracy 0.72 29484\n", + " macro avg 0.69 0.67 0.68 29484\n", + " weighted avg 0.72 0.72 0.72 29484\n", + "\n" + ] + } + ], + "source": [ + "# Accuracy of the SVM model\n", + "# print(\"Accuracy - Training data: {} \" .format(accuracy_score(y_train, y_pred_test)))\n", + "print(\"Accuracy - Testing data: {} \". format(accuracy_score(y_test, y_pred_test)))\n", + "\n", + "# Additional evaluation metrics\n", + "print(classification_report(y_test, y_pred_test, target_names=label_encoder.classes_))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Confusion Matrix\n", + "conf_matrix = confusion_matrix(y_test, y_pred_test)\n", + "\n", + "# Assuming 'class_names' is a list containing your class labels\n", + "class_names = [\"Acrocephalus arundinaceus\", \"Acrocephalus melanopogon\", \"Acrocephalus scirpaceus\",\n", + " \"Alcedo atthis\", \"Anas platyrhynchos\", \"Anas strepera\", \"Ardea purpurea\",\n", + " \"Botaurus stellaris\", \"Charadrius alexandrinus\", \"Ciconia ciconia\",\n", + " \"Circus aeruginosus\", \"Coracias garrulus\", \"Dendrocopos minor\",\n", + " \"Fulica atra\", \"Gallinula chloropus\", \"Himantopus himantopus\",\n", + " \"Ixobrychus minutus\", \"Motacilla flava\", \"Porphyrio porphyrio\", \"Tachybaptus ruficollis\"]\n", + "\n", + "# Create a DataFrame for better visualization (optional, but recommended)\n", + "conf_matrix_df = pd.DataFrame(conf_matrix, index=class_names, columns=class_names)\n", + "\n", + "# Plot the confusion matrix using seaborn\n", + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(conf_matrix_df, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False)\n", + "plt.title(\"Confusion Matrix\")\n", + "plt.xlabel(\"Predicted Labels\")\n", + "plt.ylabel(\"True Labels\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# We need to balance our dataset\n", + "There are several techniques we can use to balance the dataset before training our Ml model. \n", + "In this case, we use the Synthetic Minority Over-sampling Technique (SMOTE).\n", + "This generate synthetic samples for the minority class by interpolating between \n", + "existing instances. Also, this helps in balancing the dataset without replicating\n", + "existing instances." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ixobrychus minutus 9469\n", + "Dendrocopos minor 8398\n", + "Acrocephalus arundinaceus 7480\n", + "Botaurus stellaris 7412\n", + "Alcedo atthis 7106\n", + "Motacilla flava 6800\n", + "Charadrius alexandrinus 6375\n", + "Fulica atra 6324\n", + "Circus aeruginosus 5236\n", + "Himantopus himantopus 4709\n", + "Coracias garrulus 4539\n", + "Gallinula chloropus 4454\n", + "Acrocephalus melanopogon 3757\n", + "Ardea purpurea 3519\n", + "Porphyrio porphyrio 3162\n", + "Tachybaptus ruficollis 2601\n", + "Ciconia ciconia 2057\n", + "Acrocephalus scirpaceus 2057\n", + "Anas strepera 1632\n", + "Anas platyrhynchos 1190\n", + "Name: label, dtype: int64" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_feat[\"label\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Training the Support Vector Machine (SVM)\n", + "X = df_feat.drop(columns=['label'])\n", + "y = df_feat['label']\n", + "\n", + "# Split the dataset into training and testing sets\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n", + "\n", + "# Balance the dataset using SMOTE\n", + "smote = SMOTE(random_state=42)\n", + "X_balanced, y_balanced = smote.fit_resample(X_train, y_train)\n", + "\n", + "# Standardize the features\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_balanced)\n", + "X_test_scaled = scaler.transform(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of features for each bird:\n", + "Tachybaptus ruficollis 6637\n", + "Acrocephalus melanopogon 6637\n", + "Porphyrio porphyrio 6637\n", + "Fulica atra 6637\n", + "Alcedo atthis 6637\n", + "Acrocephalus scirpaceus 6637\n", + "Himantopus himantopus 6637\n", + "Gallinula chloropus 6637\n", + "Anas platyrhynchos 6637\n", + "Ardea purpurea 6637\n", + "Coracias garrulus 6637\n", + "Circus aeruginosus 6637\n", + "Anas strepera 6637\n", + "Motacilla flava 6637\n", + "Charadrius alexandrinus 6637\n", + "Ixobrychus minutus 6637\n", + "Acrocephalus arundinaceus 6637\n", + "Dendrocopos minor 6637\n", + "Botaurus stellaris 6637\n", + "Ciconia ciconia 6637\n", + "Name: label, dtype: int64\n" + ] + } + ], + "source": [ + "# Assuming y_train_resampled is your balanced target variable\n", + "class_counts = pd.Series(y_balanced).value_counts()\n", + "print(\"Number of features for each bird:\")\n", + "print(class_counts)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize and train the model\n", + "svm_model = SVC(kernel='linear', C=1.0)\n", + "# svm_model.fit(X_train_scaled, y_balanced)\n", + "svm_model.fit(X_balanced, y_balanced) # type: ignore\n", + "# Evaluate the model\n", + "# y_pred_test = svm_model.predict(X_test_scaled)\n", + "y_pred_test = svm_model.predict(X_test)\n", + "accuracy = accuracy_score(y_test, y_pred_test)\n", + "print(\"Accuracy:\", accuracy)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + "Acrocephalus arundinaceus 0.67 0.72 0.69 1909\n", + " Acrocephalus melanopogon 0.56 0.58 0.57 1843\n", + " Acrocephalus scirpaceus 0.74 0.76 0.75 1822\n", + " Alcedo atthis 0.80 0.83 0.81 1898\n", + " Anas platyrhynchos 0.69 0.70 0.69 1858\n", + " Anas strepera 0.73 0.76 0.74 1882\n", + " Ardea purpurea 0.55 0.53 0.54 1870\n", + " Botaurus stellaris 0.88 0.96 0.92 1941\n", + " Charadrius alexandrinus 0.54 0.63 0.58 1924\n", + " Ciconia ciconia 0.82 0.82 0.82 1945\n", + " Circus aeruginosus 0.62 0.54 0.57 1909\n", + " Coracias garrulus 0.53 0.59 0.56 1878\n", + " Dendrocopos minor 0.88 0.89 0.89 1850\n", + " Fulica atra 0.68 0.76 0.72 1900\n", + " Gallinula chloropus 0.59 0.50 0.54 1902\n", + " Himantopus himantopus 0.63 0.55 0.58 1943\n", + " Ixobrychus minutus 0.90 0.89 0.89 1914\n", + " Motacilla flava 0.85 0.76 0.80 1858\n", + " Porphyrio porphyrio 0.71 0.68 0.69 1917\n", + " Tachybaptus ruficollis 0.74 0.68 0.71 1913\n", + "\n", + " accuracy 0.71 37876\n", + " macro avg 0.71 0.70 0.70 37876\n", + " weighted avg 0.71 0.71 0.70 37876\n", + "\n" + ] + } + ], + "source": [ + "# Additional evaluation metrics\n", + "# Support: número de registros de cada clase en los datos del reporte de clasificación\n", + "print(classification_report(y_test, y_pred_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Confusion Matrix\n", + "conf_matrix = confusion_matrix(y_test, y_pred_test)\n", + "\n", + "# Assuming 'class_names' is a list containing your class labels\n", + "class_names = [\"Acrocephalus arundinaceus\", \"Acrocephalus melanopogon\", \"Acrocephalus scirpaceus\",\n", + " \"Alcedo atthis\", \"Anas platyrhynchos\", \"Anas strepera\", \"Ardea purpurea\",\n", + " \"Botaurus stellaris\", \"Charadrius alexandrinus\", \"Ciconia ciconia\",\n", + " \"Circus aeruginosus\", \"Coracias garrulus\", \"Dendrocopos minor\",\n", + " \"Fulica atra\", \"Gallinula chloropus\", \"Himantopus himantopus\",\n", + " \"Ixobrychus minutus\", \"Motacilla flava\", \"Porphyrio porphyrio\", \"Tachybaptus ruficollis\"]\n", + "\n", + "# Create a DataFrame for better visualization (optional, but recommended)\n", + "conf_matrix_df = pd.DataFrame(conf_matrix, index=class_names, columns=class_names)\n", + "\n", + "# Plot the confusion matrix using seaborn\n", + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(conf_matrix_df, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False)\n", + "plt.title(\"Confusion Matrix\")\n", + "plt.xlabel(\"Predicted Labels\")\n", + "plt.ylabel(\"True Labels\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "mining", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.16" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/predictor-dl-outputs.ipynb b/predictor-dl-outputs.ipynb new file mode 100644 index 0000000..3795ba0 --- /dev/null +++ b/predictor-dl-outputs.ipynb @@ -0,0 +1,1839 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": "# Clasificación de vocalizaciones de aves" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:28:52.647686Z", + "start_time": "2024-06-18T13:28:52.641982Z" + } + }, + "cell_type": "code", + "source": [ + "#Imports Globales\n", + "\n", + "import os\n", + "import h5py\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import tensorflow as tf\n", + "from sklearn.metrics import f1_score, confusion_matrix\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from tensorflow.keras import layers, models\n", + "\n", + "# Funciones Globales.\n", + "def count_files_in_subfolders(main_folder):\n", + " sfcounts = {}\n", + " # root is the current directory path\n", + " # dirs is a list of subdirectories in the current directory\n", + " # files is a list of files in the current directory\n", + " for root, dirs, files in os.walk(main_folder):\n", + " # Count only in subfolders, not in the main folder itself\n", + " if root != main_folder:\n", + " h5_files = [file for file in files if file.endswith(\".h5\")]\n", + " subfolder_name = os.path.basename(root)\n", + " sfcounts[subfolder_name] = len(h5_files)\n", + " return sfcounts\n", + "\n", + "def plot_histogram(sub_folder_counts):\n", + " # Extract counts and subfolder names\n", + " sorted_subfolders = sorted(sub_folder_counts.items(), key=lambda x: x[1], reverse=True)\n", + "\n", + " # Extract counts and subfolder names after sorting\n", + " counts = [count for subfolder, count in sorted_subfolders]\n", + " subfolders = [subfolder for subfolder, count in sorted_subfolders]\n", + "\n", + " # Plot histogram\n", + " plt.figure(figsize=(8, 6))\n", + " bars = plt.bar(subfolders, counts, color='mediumturquoise', edgecolor='lightseagreen')\n", + " plt.xlabel('Bird Names')\n", + " plt.ylabel('Number of Spectograms')\n", + " plt.title('Number of Spectograms of Birds', weight='bold')\n", + " plt.xticks(rotation=45, ha='right')\n", + "\n", + " # Add counts above each bar\n", + " for bar, count in zip(bars, counts):\n", + " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height(), str(count),\n", + " ha='center', va='bottom')\n", + " plt.tight_layout()\n", + " plt.show()" + ], + "outputs": [], + "execution_count": 20 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## Conteo de espectrogramas por ave" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:28:57.448259Z", + "start_time": "2024-06-18T13:28:57.243083Z" + } + }, + "source": [ + "# Ruta a los espectrogramas convertidos a hdf5\n", + "main_folder_path = os.path.abspath(\"./data/spects_h5\")\n", + "\n", + "# Conteo de archivos por tipo de pájaro\n", + "subfolder_counts = count_files_in_subfolders(main_folder_path)\n", + "\n", + "# Histograma de distribución de muestras\n", + "plot_histogram(subfolder_counts)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 21 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:29:15.303707Z", + "start_time": "2024-06-18T13:29:02.490501Z" + } + }, + "source": [ + "# Cargar los espectrogramas & labels\n", + "spectrograms_folder = os.path.abspath(\"./data/spectrograms\")\n", + "bird_folders = [folder for folder in os.listdir(spectrograms_folder) if not os.path.isfile(folder)]\n", + "print(bird_folders)\n", + "\n", + "# Crear un archivo h5 para agrupar los espectrogramas por nombre de audio\n", + "with h5py.File(os.path.abspath(\"./data/spectrograms.h5\"), \"w\") as hf:\n", + " for bird_folder in bird_folders:\n", + " bird_name = bird_folder.split(\"_\")[0] # Obtener el nombre del pájaro\n", + " spectogram_files = os.listdir(os.path.join(spectrograms_folder, bird_folder))\n", + " for spectogram_file in spectogram_files:\n", + " if spectogram_file.endswith(\".npy\"):\n", + " audio_name = spectogram_file.split(\"_\")[0]\n", + " if audio_name not in hf:\n", + " audio_group = hf.create_group(audio_name)\n", + " # Agregar el nombre del pájaro al grupo del audio\n", + " audio_group.attrs[\"bird\"] = bird_name\n", + " spectogram_path = os.path.join(spectrograms_folder, bird_folder, spectogram_file)\n", + " spectogram = np.load(spectogram_path)\n", + " hf[audio_name].create_dataset(spectogram_file, data=spectogram)\n", + " \n", + "# Open the h5 file\n", + "audio_names = []\n", + "with h5py.File(os.path.abspath(\"./data/spectrograms.h5\")) as hf:\n", + " # Get the keys of the groups (audio names)\n", + " audio_names = list(hf.keys())\n", + "\n", + "print(audio_names)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Acrocephalus scirpaceus', 'Anas (Mareca) strepera', 'Porphyrio porphyrio', 'Circus aeruginosus', 'Motacilla flava', 'Acrocephalus arundinaceus', 'Fulica atra', 'Botaurus stellaris', 'Himantopus himantopus', 'Acrocephalus melanopogon', 'Tachybaptus ruficollis', 'Ardea purpurea', 'Charadrius alexandrinus', 'Ixobrychus minutus', 'Anas platyrhynchos', 'Coracias garrulus', 'Dendrocopos minor', 'Alcedo atthis', 'Ciconia ciconia', 'Gallinula chloropus']\n", + "['XC100296', 'XC100619', 'XC100621', 'XC100622', 'XC102793', 'XC102794', 'XC103243', 'XC103696', 'XC106948', 'XC106971', 'XC109629', 'XC112488', 'XC113587', 'XC113968', 'XC118195', 'XC120332', 'XC120378', 'XC120411', 'XC120730', 'XC121174', 'XC127375', 'XC129156', 'XC129188', 'XC129193', 'XC129377', 'XC131532', 'XC132077', 'XC132435', 'XC133548', 'XC134051', 'XC134073', 'XC134081', 'XC134219', 'XC134221', 'XC134240', 'XC134257', 'XC134457', 'XC134761', 'XC134762', 'XC134843', 'XC135278', 'XC135429', 'XC135579', 'XC135658', 'XC141019', 'XC141170', 'XC141171', 'XC141571', 'XC142515', 'XC143954', 'XC144531', 'XC144533', 'XC145121', 'XC145159', 'XC146712', 'XC149045', 'XC149069', 'XC149070', 'XC149071', 'XC149072', 'XC149153', 'XC150591', 'XC150699', 'XC153193', 'XC153870', 'XC154289', 'XC154554', 'XC154555', 'XC154563', 'XC154909', 'XC154931', 'XC155092', 'XC155665', 'XC155710', 'XC156081', 'XC161931', 'XC161966', 'XC163297', 'XC164172', 'XC164817', 'XC166246', 'XC167717', 'XC169478', 'XC171088', 'XC171122', 'XC171445', 'XC172478', 'XC172480', 'XC172692', 'XC172946', 'XC180287', 'XC180605', 'XC180756', 'XC181349', 'XC182877', 'XC183432', 'XC183433', 'XC183440', 'XC184313', 'XC184314', 'XC184422', 'XC184429', 'XC184433', 'XC184434', 'XC184842', 'XC185101', 'XC185103', 'XC185104', 'XC185268', 'XC185273', 'XC185305', 'XC186806', 'XC188143', 'XC188144', 'XC188145', 'XC188146', 'XC188147', 'XC188148', 'XC188149', 'XC188150', 'XC189879', 'XC189882', 'XC189883', 'XC190968', 'XC191096', 'XC196976', 'XC196991', 'XC197138', 'XC205050', 'XC205076', 'XC206253', 'XC206255', 'XC207216', 'XC208527', 'XC208705', 'XC209951', 'XC210379', 'XC213784', 'XC214099', 'XC215129', 'XC215785', 'XC216709', 'XC216710', 'XC223168', 'XC225374', 'XC227072', 'XC232846', 'XC234105', 'XC235176', 'XC235721', 'XC236456', 'XC236458', 'XC237486', 'XC237893', 'XC240134', 'XC244232', 'XC245725', 'XC252756', 'XC252757', 'XC253188', 'XC253191', 'XC253273', 'XC25468', 'XC25558', 'XC262846', 'XC263296', 'XC263298', 'XC265127', 'XC267202', 'XC26929', 'XC26930', 'XC26959', 'XC26960', 'XC269744', 'XC269745', 'XC270056', 'XC270373', 'XC270427', 'XC270428', 'XC27569', 'XC276851', 'XC277204', 'XC277591', 'XC279853', 'XC279854', 'XC280353', 'XC280719', 'XC280964', 'XC280965', 'XC280966', 'XC280978', 'XC280980', 'XC280981', 'XC280982', 'XC280983', 'XC280984', 'XC280997', 'XC280998', 'XC281044', 'XC281045', 'XC281357', 'XC281358', 'XC281359', 'XC281360', 'XC287835', 'XC288186', 'XC292201', 'XC293293', 'XC295996', 'XC296053', 'XC296061', 'XC29798', 'XC298591', 'XC299191', 'XC299330', 'XC299495', 'XC301648', 'XC302642', 'XC303341', 'XC303987', 'XC303989', 'XC304006', 'XC306130', 'XC307038', 'XC308991', 'XC309607', 'XC310507', 'XC310528', 'XC310529', 'XC310709', 'XC311152', 'XC311153', 'XC312051', 'XC312572', 'XC312823', 'XC313565', 'XC314267', 'XC314269', 'XC314610', 'XC314697', 'XC315733', 'XC31615', 'XC316371', 'XC317323', 'XC317421', 'XC317692', 'XC318091', 'XC318414', 'XC318416', 'XC318417', 'XC318418', 'XC318427', 'XC324343', 'XC326162', 'XC327581', 'XC328055', 'XC329900', 'XC329910', 'XC329937', 'XC332043', 'XC332533', 'XC333813', 'XC333823', 'XC336861', 'XC336862', 'XC336866', 'XC337592', 'XC337594', 'XC338275', 'XC338276', 'XC338277', 'XC338279', 'XC338280', 'XC338283', 'XC339477', 'XC339478', 'XC339480', 'XC340598', 'XC340916', 'XC340917', 'XC340922', 'XC341211', 'XC341212', 'XC341264', 'XC341986', 'XC343737', 'XC345884', 'XC345889', 'XC345951', 'XC347269', 'XC347981', 'XC348396', 'XC354109', 'XC354111', 'XC356385', 'XC356656', 'XC356695', 'XC356696', 'XC356856', 'XC357023', 'XC357198', 'XC357368', 'XC357371', 'XC357387', 'XC357495', 'XC357630', 'XC357687', 'XC357688', 'XC357885', 'XC357888', 'XC357910', 'XC357911', 'XC357912', 'XC357913', 'XC357914', 'XC358495', 'XC358560', 'XC358561', 'XC358628', 'XC358629', 'XC358639', 'XC358986', 'XC359026', 'XC35968', 'XC35969', 'XC360704', 'XC360705', 'XC361803', 'XC361804', 'XC361806', 'XC362363', 'XC362697', 'XC363294', 'XC364346', 'XC364458', 'XC365601', 'XC366752', 'XC367038', 'XC367080', 'XC367081', 'XC367088', 'XC367219', 'XC367685', 'XC369056', 'XC370227', 'XC370744', 'XC371000', 'XC371001', 'XC371002', 'XC371003', 'XC371004', 'XC371155', 'XC372105', 'XC372401', 'XC372950', 'XC373560', 'XC373853', 'XC374911', 'XC374912', 'XC374913', 'XC37543', 'XC376813', 'XC376954', 'XC376955', 'XC376956', 'XC376958', 'XC376959', 'XC377102', 'XC377189', 'XC379596', 'XC379836', 'XC379837', 'XC379838', 'XC379892', 'XC379953', 'XC380536', 'XC380537', 'XC380967', 'XC381727', 'XC381813', 'XC381860', 'XC381861', 'XC381862', 'XC383514', 'XC385622', 'XC386307', 'XC388290', 'XC388291', 'XC395186', 'XC396412', 'XC396413', 'XC396414', 'XC396416', 'XC399454', 'XC399455', 'XC400197', 'XC401830', 'XC40189', 'XC402382', 'XC405096', 'XC406576', 'XC407138', 'XC407139', 'XC407219', 'XC408868', 'XC410111', 'XC410121', 'XC410140', 'XC411002', 'XC412265', 'XC41249', 'XC412840', 'XC413271', 'XC413273', 'XC413305', 'XC414856', 'XC416671', 'XC416749', 'XC416949', 'XC417021', 'XC417089', 'XC417119', 'XC417157', 'XC417158', 'XC417425', 'XC417722', 'XC418140', 'XC418401', 'XC418412', 'XC419196', 'XC419606', 'XC420352', 'XC420542', 'XC421398', 'XC421400', 'XC421435', 'XC421439', 'XC421556', 'XC421578', 'XC422018', 'XC422019', 'XC422341', 'XC422437', 'XC422660', 'XC422797', 'XC423144', 'XC424110', 'XC42540', 'XC42541', 'XC42542', 'XC42554', 'XC425999', 'XC428404', 'XC428706', 'XC428707', 'XC428861', 'XC428977', 'XC429210', 'XC429604', 'XC429605', 'XC429606', 'XC429607', 'XC429608', 'XC429780', 'XC431154', 'XC431155', 'XC431157', 'XC431158', 'XC431217', 'XC431789', 'XC432145', 'XC432223', 'XC432232', 'XC432572', 'XC434438', 'XC435064', 'XC436382', 'XC436465', 'XC436938', 'XC437194', 'XC437805', 'XC437807', 'XC437808', 'XC439336', 'XC440102', 'XC440123', 'XC440159', 'XC440361', 'XC440482', 'XC441909', 'XC442159', 'XC442556', 'XC443794', 'XC445285', 'XC44631', 'XC447310', 'XC447433', 'XC447442', 'XC448652', 'XC448653', 'XC448948', 'XC449187', 'XC454200', 'XC454603', 'XC454995', 'XC456255', 'XC456725', 'XC457036', 'XC458081', 'XC458082', 'XC458084', 'XC459391', 'XC459392', 'XC459393', 'XC459394', 'XC459669', 'XC459686', 'XC459694', 'XC459832', 'XC459840', 'XC459861', 'XC459889', 'XC459964', 'XC460172', 'XC460174', 'XC460195', 'XC461324', 'XC461762', 'XC462116', 'XC462742', 'XC462870', 'XC463076', 'XC463078', 'XC463089', 'XC463296', 'XC463331', 'XC463509', 'XC463520', 'XC463603', 'XC464578', 'XC464633', 'XC465331', 'XC465333', 'XC465476', 'XC466132', 'XC466157', 'XC466742', 'XC466744', 'XC466746', 'XC466747', 'XC466748', 'XC466765', 'XC466805', 'XC466883', 'XC466994', 'XC467260', 'XC467261', 'XC467263', 'XC467373', 'XC467402', 'XC467403', 'XC467596', 'XC467851', 'XC468672', 'XC469295', 'XC469410', 'XC469570', 'XC469783', 'XC469794', 'XC469957', 'XC469959', 'XC469976', 'XC470195', 'XC470261', 'XC470347', 'XC470421', 'XC470470', 'XC470564', 'XC470657', 'XC470740', 'XC470769', 'XC470995', 'XC471249', 'XC471545', 'XC471554', 'XC471558', 'XC471731', 'XC471768', 'XC471769', 'XC471968', 'XC472589', 'XC473249', 'XC473571', 'XC473833', 'XC473930', 'XC473954', 'XC474017', 'XC474019', 'XC474176', 'XC474931', 'XC475474', 'XC475479', 'XC475965', 'XC476146', 'XC476409', 'XC476854', 'XC477007', 'XC477329', 'XC477330', 'XC477331', 'XC477444', 'XC477688', 'XC477749', 'XC477945', 'XC478070', 'XC478415', 'XC478424', 'XC478425', 'XC478498', 'XC478568', 'XC478850', 'XC478876', 'XC479839', 'XC479924', 'XC479946', 'XC479978', 'XC480053', 'XC480061', 'XC480203', 'XC480979', 'XC481289', 'XC481399', 'XC481404', 'XC481405', 'XC481567', 'XC482370', 'XC483334', 'XC483554', 'XC483557', 'XC483692', 'XC483694', 'XC483697', 'XC483906', 'XC484626', 'XC484717', 'XC485245', 'XC485312', 'XC485349', 'XC485350', 'XC485377', 'XC485380', 'XC485381', 'XC486202', 'XC486755', 'XC487692', 'XC487693', 'XC487843', 'XC487848', 'XC488300', 'XC488301', 'XC488409', 'XC489350', 'XC489445', 'XC490614', 'XC490838', 'XC491787', 'XC493312', 'XC494524', 'XC494536', 'XC494537', 'XC495092', 'XC495533', 'XC495852', 'XC495975', 'XC496271', 'XC496380', 'XC496443', 'XC497345', 'XC497799', 'XC498608', 'XC499043', 'XC499081', 'XC499150', 'XC499646', 'XC499652', 'XC500306', 'XC500406', 'XC500624', 'XC500750', 'XC500751', 'XC501144', 'XC501772', 'XC501872', 'XC502956', 'XC502961', 'XC503769', 'XC503772', 'XC504105', 'XC504113', 'XC505719', 'XC505960', 'XC509421', 'XC509443', 'XC509674', 'XC510178', 'XC510499', 'XC510569', 'XC510571', 'XC510585', 'XC510716', 'XC510720', 'XC511182', 'XC511183', 'XC511184', 'XC511190', 'XC511192', 'XC511193', 'XC511641', 'XC511642', 'XC511647', 'XC511664', 'XC511665', 'XC511666', 'XC511667', 'XC511668', 'XC511669', 'XC511670', 'XC511671', 'XC511672', 'XC511673', 'XC511674', 'XC511677', 'XC511697', 'XC512909', 'XC513304', 'XC514029', 'XC514030', 'XC514729', 'XC514731', 'XC515865', 'XC516174', 'XC516379', 'XC518345', 'XC518346', 'XC518347', 'XC518348', 'XC518349', 'XC518351', 'XC518425', 'XC518432', 'XC518527', 'XC519437', 'XC519587', 'XC519898', 'XC519899', 'XC519927', 'XC519985', 'XC519994', 'XC520116', 'XC520709', 'XC521464', 'XC521562', 'XC521563', 'XC521611', 'XC521814', 'XC522273', 'XC522340', 'XC522491', 'XC522819', 'XC522864', 'XC522990', 'XC522991', 'XC524288', 'XC524524', 'XC526231', 'XC526232', 'XC526238', 'XC526276', 'XC527477', 'XC527806', 'XC528227', 'XC528507', 'XC528508', 'XC529190', 'XC529774', 'XC531395', 'XC533927', 'XC534240', 'XC534416', 'XC534607', 'XC534750', 'XC534754', 'XC534756', 'XC536892', 'XC536895', 'XC538130', 'XC538132', 'XC538144', 'XC538213', 'XC538422', 'XC538423', 'XC538467', 'XC538478', 'XC538710', 'XC538750', 'XC538941', 'XC538943', 'XC539273', 'XC539614', 'XC539686', 'XC540348', 'XC540475', 'XC540685', 'XC540742', 'XC540804', 'XC540808', 'XC542331', 'XC542351', 'XC542356', 'XC542357', 'XC542359', 'XC542543', 'XC542651', 'XC543233', 'XC543411', 'XC543454', 'XC543771', 'XC543793', 'XC544319', 'XC544658', 'XC544680', 'XC544685', 'XC544686', 'XC544846', 'XC544857', 'XC544935', 'XC545123', 'XC545223', 'XC545614', 'XC545755', 'XC545994', 'XC546757', 'XC547095', 'XC547368', 'XC548338', 'XC548458', 'XC548542', 'XC548742', 'XC548770', 'XC548772', 'XC548774', 'XC548775', 'XC548777', 'XC548872', 'XC550266', 'XC550870', 'XC552628', 'XC552636', 'XC67347', 'XC67350', 'XC67351', 'XC81916', 'XC88896', 'XC90128', 'XC90713', 'XC91179', 'XC93331', 'XC97974']\n" + ] + } + ], + "execution_count": 22 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:29:21.530456Z", + "start_time": "2024-06-18T13:29:21.492431Z" + } + }, + "source": [ + "# Empty list to store the name of each group and bird name\n", + "bird_info = []\n", + "# Leer el archivo H5 existente\n", + "with h5py.File(os.path.abspath(\"./data/spectrograms.h5\")) as hf:\n", + " for audio_name in hf.keys():\n", + " bird_name = hf[audio_name].attrs[\"bird\"]\n", + " bird_info.append([audio_name, bird_name])\n", + "\n", + "print(bird_info)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[['XC100296', 'Botaurus stellaris'], ['XC100619', 'Circus aeruginosus'], ['XC100621', 'Circus aeruginosus'], ['XC100622', 'Circus aeruginosus'], ['XC102793', 'Motacilla flava'], ['XC102794', 'Motacilla flava'], ['XC103243', 'Ixobrychus minutus'], ['XC103696', 'Motacilla flava'], ['XC106948', 'Acrocephalus melanopogon'], ['XC106971', 'Ixobrychus minutus'], ['XC109629', 'Anas (Mareca) strepera'], ['XC112488', 'Circus aeruginosus'], ['XC113587', 'Anas platyrhynchos'], ['XC113968', 'Anas platyrhynchos'], ['XC118195', 'Himantopus himantopus'], ['XC120332', 'Charadrius alexandrinus'], ['XC120378', 'Botaurus stellaris'], ['XC120411', 'Dendrocopos minor'], ['XC120730', 'Coracias garrulus'], ['XC121174', 'Coracias garrulus'], ['XC127375', 'Anas platyrhynchos'], ['XC129156', 'Dendrocopos minor'], ['XC129188', 'Ciconia ciconia'], ['XC129193', 'Dendrocopos minor'], ['XC129377', 'Dendrocopos minor'], ['XC131532', 'Circus aeruginosus'], ['XC132077', 'Himantopus himantopus'], ['XC132435', 'Himantopus himantopus'], ['XC133548', 'Dendrocopos minor'], ['XC134051', 'Coracias garrulus'], ['XC134073', 'Ciconia ciconia'], ['XC134081', 'Himantopus himantopus'], ['XC134219', 'Ciconia ciconia'], ['XC134221', 'Ciconia ciconia'], ['XC134240', 'Tachybaptus ruficollis'], ['XC134257', 'Motacilla flava'], ['XC134457', 'Acrocephalus melanopogon'], ['XC134761', 'Ixobrychus minutus'], ['XC134762', 'Ixobrychus minutus'], ['XC134843', 'Circus aeruginosus'], ['XC135278', 'Dendrocopos minor'], ['XC135429', 'Ardea purpurea'], ['XC135579', 'Ciconia ciconia'], ['XC135658', 'Charadrius alexandrinus'], ['XC141019', 'Acrocephalus melanopogon'], ['XC141170', 'Coracias garrulus'], ['XC141171', 'Ciconia ciconia'], ['XC141571', 'Coracias garrulus'], ['XC142515', 'Dendrocopos minor'], ['XC143954', 'Circus aeruginosus'], ['XC144531', 'Charadrius alexandrinus'], ['XC144533', 'Himantopus himantopus'], ['XC145121', 'Circus aeruginosus'], ['XC145159', 'Acrocephalus melanopogon'], ['XC146712', 'Ixobrychus minutus'], ['XC149045', 'Ciconia ciconia'], ['XC149069', 'Ciconia ciconia'], ['XC149070', 'Ciconia ciconia'], ['XC149071', 'Ciconia ciconia'], ['XC149072', 'Ciconia ciconia'], ['XC149153', 'Ixobrychus minutus'], ['XC150591', 'Dendrocopos minor'], ['XC150699', 'Ardea purpurea'], ['XC153193', 'Dendrocopos minor'], ['XC153870', 'Tachybaptus ruficollis'], ['XC154289', 'Himantopus himantopus'], ['XC154554', 'Ciconia ciconia'], ['XC154555', 'Ciconia ciconia'], ['XC154563', 'Motacilla flava'], ['XC154909', 'Motacilla flava'], ['XC154931', 'Himantopus himantopus'], ['XC155092', 'Himantopus himantopus'], ['XC155665', 'Charadrius alexandrinus'], ['XC155710', 'Motacilla flava'], ['XC156081', 'Ixobrychus minutus'], ['XC161931', 'Tachybaptus ruficollis'], ['XC161966', 'Circus aeruginosus'], ['XC163297', 'Acrocephalus melanopogon'], ['XC164172', 'Motacilla flava'], ['XC164817', 'Circus aeruginosus'], ['XC166246', 'Ardea purpurea'], ['XC167717', 'Ciconia ciconia'], ['XC169478', 'Ciconia ciconia'], ['XC171088', 'Ciconia ciconia'], ['XC171122', 'Dendrocopos minor'], ['XC171445', 'Botaurus stellaris'], ['XC172478', 'Acrocephalus melanopogon'], ['XC172480', 'Acrocephalus melanopogon'], ['XC172692', 'Botaurus stellaris'], ['XC172946', 'Ciconia ciconia'], ['XC180287', 'Ixobrychus minutus'], ['XC180605', 'Ixobrychus minutus'], ['XC180756', 'Botaurus stellaris'], ['XC181349', 'Ciconia ciconia'], ['XC182877', 'Charadrius alexandrinus'], ['XC183432', 'Tachybaptus ruficollis'], ['XC183433', 'Tachybaptus ruficollis'], ['XC183440', 'Tachybaptus ruficollis'], ['XC184313', 'Botaurus stellaris'], ['XC184314', 'Botaurus stellaris'], ['XC184422', 'Himantopus himantopus'], ['XC184429', 'Botaurus stellaris'], ['XC184433', 'Motacilla flava'], ['XC184434', 'Motacilla flava'], ['XC184842', 'Ardea purpurea'], ['XC185101', 'Charadrius alexandrinus'], ['XC185103', 'Charadrius alexandrinus'], ['XC185104', 'Charadrius alexandrinus'], ['XC185268', 'Charadrius alexandrinus'], ['XC185273', 'Charadrius alexandrinus'], ['XC185305', 'Coracias garrulus'], ['XC186806', 'Ixobrychus minutus'], ['XC188143', 'Coracias garrulus'], ['XC188144', 'Coracias garrulus'], ['XC188145', 'Coracias garrulus'], ['XC188146', 'Coracias garrulus'], ['XC188147', 'Coracias garrulus'], ['XC188148', 'Coracias garrulus'], ['XC188149', 'Coracias garrulus'], ['XC188150', 'Coracias garrulus'], ['XC189879', 'Circus aeruginosus'], ['XC189882', 'Circus aeruginosus'], ['XC189883', 'Circus aeruginosus'], ['XC190968', 'Himantopus himantopus'], ['XC191096', 'Ardea purpurea'], ['XC196976', 'Circus aeruginosus'], ['XC196991', 'Anas platyrhynchos'], ['XC197138', 'Dendrocopos minor'], ['XC205050', 'Ardea purpurea'], ['XC205076', 'Circus aeruginosus'], ['XC206253', 'Himantopus himantopus'], ['XC206255', 'Himantopus himantopus'], ['XC207216', 'Anas platyrhynchos'], ['XC208527', 'Anas (Mareca) strepera'], ['XC208705', 'Motacilla flava'], ['XC209951', 'Anas (Mareca) strepera'], ['XC210379', 'Anas (Mareca) strepera'], ['XC213784', 'Acrocephalus melanopogon'], ['XC214099', 'Botaurus stellaris'], ['XC215129', 'Tachybaptus ruficollis'], ['XC215785', 'Botaurus stellaris'], ['XC216709', 'Botaurus stellaris'], ['XC216710', 'Botaurus stellaris'], ['XC223168', 'Motacilla flava'], ['XC225374', 'Tachybaptus ruficollis'], ['XC227072', 'Ardea purpurea'], ['XC232846', 'Tachybaptus ruficollis'], ['XC234105', 'Botaurus stellaris'], ['XC235176', 'Circus aeruginosus'], ['XC235721', 'Ciconia ciconia'], ['XC236456', 'Dendrocopos minor'], ['XC236458', 'Dendrocopos minor'], ['XC237486', 'Botaurus stellaris'], ['XC237893', 'Ardea purpurea'], ['XC240134', 'Coracias garrulus'], ['XC244232', 'Ciconia ciconia'], ['XC245725', 'Ixobrychus minutus'], ['XC252756', 'Motacilla flava'], ['XC252757', 'Motacilla flava'], ['XC253188', 'Ixobrychus minutus'], ['XC253191', 'Ciconia ciconia'], ['XC253273', 'Acrocephalus melanopogon'], ['XC25468', 'Ciconia ciconia'], ['XC25558', 'Botaurus stellaris'], ['XC262846', 'Circus aeruginosus'], ['XC263296', 'Himantopus himantopus'], ['XC263298', 'Himantopus himantopus'], ['XC265127', 'Ardea purpurea'], ['XC267202', 'Porphyrio porphyrio'], ['XC26929', 'Tachybaptus ruficollis'], ['XC26930', 'Tachybaptus ruficollis'], ['XC26959', 'Anas (Mareca) strepera'], ['XC26960', 'Anas (Mareca) strepera'], ['XC269744', 'Circus aeruginosus'], ['XC269745', 'Circus aeruginosus'], ['XC270056', 'Motacilla flava'], ['XC270373', 'Ardea purpurea'], ['XC270427', 'Ixobrychus minutus'], ['XC270428', 'Ixobrychus minutus'], ['XC27569', 'Ciconia ciconia'], ['XC276851', 'Ardea purpurea'], ['XC277204', 'Ardea purpurea'], ['XC277591', 'Himantopus himantopus'], ['XC279853', 'Ardea purpurea'], ['XC279854', 'Ardea purpurea'], ['XC280353', 'Himantopus himantopus'], ['XC280719', 'Tachybaptus ruficollis'], ['XC280964', 'Botaurus stellaris'], ['XC280965', 'Botaurus stellaris'], ['XC280966', 'Botaurus stellaris'], ['XC280978', 'Ardea purpurea'], ['XC280980', 'Tachybaptus ruficollis'], ['XC280981', 'Tachybaptus ruficollis'], ['XC280982', 'Tachybaptus ruficollis'], ['XC280983', 'Tachybaptus ruficollis'], ['XC280984', 'Tachybaptus ruficollis'], ['XC280997', 'Circus aeruginosus'], ['XC280998', 'Circus aeruginosus'], ['XC281044', 'Himantopus himantopus'], ['XC281045', 'Himantopus himantopus'], ['XC281357', 'Motacilla flava'], ['XC281358', 'Motacilla flava'], ['XC281359', 'Motacilla flava'], ['XC281360', 'Motacilla flava'], ['XC287835', 'Anas platyrhynchos'], ['XC288186', 'Ixobrychus minutus'], ['XC292201', 'Porphyrio porphyrio'], ['XC293293', 'Botaurus stellaris'], ['XC295996', 'Ciconia ciconia'], ['XC296053', 'Motacilla flava'], ['XC296061', 'Circus aeruginosus'], ['XC29798', 'Himantopus himantopus'], ['XC298591', 'Ardea purpurea'], ['XC299191', 'Botaurus stellaris'], ['XC299330', 'Porphyrio porphyrio'], ['XC299495', 'Ardea purpurea'], ['XC301648', 'Tachybaptus ruficollis'], ['XC302642', 'Porphyrio porphyrio'], ['XC303341', 'Porphyrio porphyrio'], ['XC303987', 'Anas platyrhynchos'], ['XC303989', 'Anas platyrhynchos'], ['XC304006', 'Anas platyrhynchos'], ['XC306130', 'Anas platyrhynchos'], ['XC307038', 'Motacilla flava'], ['XC308991', 'Dendrocopos minor'], ['XC309607', 'Botaurus stellaris'], ['XC310507', 'Botaurus stellaris'], ['XC310528', 'Acrocephalus melanopogon'], ['XC310529', 'Acrocephalus melanopogon'], ['XC310709', 'Dendrocopos minor'], ['XC311152', 'Ardea purpurea'], ['XC311153', 'Ardea purpurea'], ['XC312051', 'Coracias garrulus'], ['XC312572', 'Himantopus himantopus'], ['XC312823', 'Dendrocopos minor'], ['XC313565', 'Himantopus himantopus'], ['XC314267', 'Motacilla flava'], ['XC314269', 'Motacilla flava'], ['XC314610', 'Dendrocopos minor'], ['XC314697', 'Botaurus stellaris'], ['XC315733', 'Botaurus stellaris'], ['XC31615', 'Coracias garrulus'], ['XC316371', 'Motacilla flava'], ['XC317323', 'Botaurus stellaris'], ['XC317421', 'Botaurus stellaris'], ['XC317692', 'Tachybaptus ruficollis'], ['XC318091', 'Ardea purpurea'], ['XC318414', 'Charadrius alexandrinus'], ['XC318416', 'Charadrius alexandrinus'], ['XC318417', 'Charadrius alexandrinus'], ['XC318418', 'Charadrius alexandrinus'], ['XC318427', 'Coracias garrulus'], ['XC324343', 'Motacilla flava'], ['XC326162', 'Botaurus stellaris'], ['XC327581', 'Ciconia ciconia'], ['XC328055', 'Himantopus himantopus'], ['XC329900', 'Acrocephalus melanopogon'], ['XC329910', 'Acrocephalus melanopogon'], ['XC329937', 'Dendrocopos minor'], ['XC332043', 'Himantopus himantopus'], ['XC332533', 'Himantopus himantopus'], ['XC333813', 'Charadrius alexandrinus'], ['XC333823', 'Charadrius alexandrinus'], ['XC336861', 'Porphyrio porphyrio'], ['XC336862', 'Porphyrio porphyrio'], ['XC336866', 'Porphyrio porphyrio'], ['XC337592', 'Porphyrio porphyrio'], ['XC337594', 'Porphyrio porphyrio'], ['XC338275', 'Charadrius alexandrinus'], ['XC338276', 'Charadrius alexandrinus'], ['XC338277', 'Charadrius alexandrinus'], ['XC338279', 'Himantopus himantopus'], ['XC338280', 'Himantopus himantopus'], ['XC338283', 'Himantopus himantopus'], ['XC339477', 'Charadrius alexandrinus'], ['XC339478', 'Charadrius alexandrinus'], ['XC339480', 'Charadrius alexandrinus'], ['XC340598', 'Anas platyrhynchos'], ['XC340916', 'Botaurus stellaris'], ['XC340917', 'Ixobrychus minutus'], ['XC340922', 'Ciconia ciconia'], ['XC341211', 'Charadrius alexandrinus'], ['XC341212', 'Charadrius alexandrinus'], ['XC341264', 'Circus aeruginosus'], ['XC341986', 'Charadrius alexandrinus'], ['XC343737', 'Ardea purpurea'], ['XC345884', 'Motacilla flava'], ['XC345889', 'Motacilla flava'], ['XC345951', 'Motacilla flava'], ['XC347269', 'Acrocephalus melanopogon'], ['XC347981', 'Himantopus himantopus'], ['XC348396', 'Anas platyrhynchos'], ['XC354109', 'Botaurus stellaris'], ['XC354111', 'Botaurus stellaris'], ['XC356385', 'Tachybaptus ruficollis'], ['XC356656', 'Ardea purpurea'], ['XC356695', 'Acrocephalus melanopogon'], ['XC356696', 'Acrocephalus melanopogon'], ['XC356856', 'Dendrocopos minor'], ['XC357023', 'Anas platyrhynchos'], ['XC357198', 'Acrocephalus melanopogon'], ['XC357368', 'Acrocephalus melanopogon'], ['XC357371', 'Circus aeruginosus'], ['XC357387', 'Acrocephalus melanopogon'], ['XC357495', 'Porphyrio porphyrio'], ['XC357630', 'Acrocephalus melanopogon'], ['XC357687', 'Tachybaptus ruficollis'], ['XC357688', 'Tachybaptus ruficollis'], ['XC357885', 'Tachybaptus ruficollis'], ['XC357888', 'Acrocephalus melanopogon'], ['XC357910', 'Porphyrio porphyrio'], ['XC357911', 'Porphyrio porphyrio'], ['XC357912', 'Porphyrio porphyrio'], ['XC357913', 'Porphyrio porphyrio'], ['XC357914', 'Porphyrio porphyrio'], ['XC358495', 'Porphyrio porphyrio'], ['XC358560', 'Acrocephalus melanopogon'], ['XC358561', 'Porphyrio porphyrio'], ['XC358628', 'Acrocephalus melanopogon'], ['XC358629', 'Acrocephalus melanopogon'], ['XC358639', 'Porphyrio porphyrio'], ['XC358986', 'Charadrius alexandrinus'], ['XC359026', 'Charadrius alexandrinus'], ['XC35968', 'Ixobrychus minutus'], ['XC35969', 'Ixobrychus minutus'], ['XC360704', 'Acrocephalus melanopogon'], ['XC360705', 'Acrocephalus melanopogon'], ['XC361803', 'Botaurus stellaris'], ['XC361804', 'Botaurus stellaris'], ['XC361806', 'Botaurus stellaris'], ['XC362363', 'Ardea purpurea'], ['XC362697', 'Botaurus stellaris'], ['XC363294', 'Botaurus stellaris'], ['XC364346', 'Dendrocopos minor'], ['XC364458', 'Anas (Mareca) strepera'], ['XC365601', 'Circus aeruginosus'], ['XC366752', 'Charadrius alexandrinus'], ['XC367038', 'Anas platyrhynchos'], ['XC367080', 'Porphyrio porphyrio'], ['XC367081', 'Porphyrio porphyrio'], ['XC367088', 'Charadrius alexandrinus'], ['XC367219', 'Botaurus stellaris'], ['XC367685', 'Tachybaptus ruficollis'], ['XC369056', 'Ardea purpurea'], ['XC370227', 'Himantopus himantopus'], ['XC370744', 'Himantopus himantopus'], ['XC371000', 'Charadrius alexandrinus'], ['XC371001', 'Charadrius alexandrinus'], ['XC371002', 'Charadrius alexandrinus'], ['XC371003', 'Charadrius alexandrinus'], ['XC371004', 'Charadrius alexandrinus'], ['XC371155', 'Charadrius alexandrinus'], ['XC372105', 'Botaurus stellaris'], ['XC372401', 'Motacilla flava'], ['XC372950', 'Ciconia ciconia'], ['XC373560', 'Tachybaptus ruficollis'], ['XC373853', 'Ixobrychus minutus'], ['XC374911', 'Ardea purpurea'], ['XC374912', 'Himantopus himantopus'], ['XC374913', 'Himantopus himantopus'], ['XC37543', 'Botaurus stellaris'], ['XC376813', 'Ixobrychus minutus'], ['XC376954', 'Charadrius alexandrinus'], ['XC376955', 'Charadrius alexandrinus'], ['XC376956', 'Charadrius alexandrinus'], ['XC376958', 'Charadrius alexandrinus'], ['XC376959', 'Charadrius alexandrinus'], ['XC377102', 'Ixobrychus minutus'], ['XC377189', 'Tachybaptus ruficollis'], ['XC379596', 'Ciconia ciconia'], ['XC379836', 'Ixobrychus minutus'], ['XC379837', 'Ixobrychus minutus'], ['XC379838', 'Ixobrychus minutus'], ['XC379892', 'Himantopus himantopus'], ['XC379953', 'Motacilla flava'], ['XC380536', 'Ardea purpurea'], ['XC380537', 'Ardea purpurea'], ['XC380967', 'Porphyrio porphyrio'], ['XC381727', 'Porphyrio porphyrio'], ['XC381813', 'Ardea purpurea'], ['XC381860', 'Porphyrio porphyrio'], ['XC381861', 'Porphyrio porphyrio'], ['XC381862', 'Porphyrio porphyrio'], ['XC383514', 'Dendrocopos minor'], ['XC385622', 'Himantopus himantopus'], ['XC386307', 'Porphyrio porphyrio'], ['XC388290', 'Tachybaptus ruficollis'], ['XC388291', 'Tachybaptus ruficollis'], ['XC395186', 'Alcedo atthis'], ['XC396412', 'Botaurus stellaris'], ['XC396413', 'Botaurus stellaris'], ['XC396414', 'Botaurus stellaris'], ['XC396416', 'Botaurus stellaris'], ['XC399454', 'Porphyrio porphyrio'], ['XC399455', 'Porphyrio porphyrio'], ['XC400197', 'Dendrocopos minor'], ['XC401830', 'Dendrocopos minor'], ['XC40189', 'Tachybaptus ruficollis'], ['XC402382', 'Alcedo atthis'], ['XC405096', 'Dendrocopos minor'], ['XC406576', 'Acrocephalus melanopogon'], ['XC407138', 'Tachybaptus ruficollis'], ['XC407139', 'Tachybaptus ruficollis'], ['XC407219', 'Dendrocopos minor'], ['XC408868', 'Acrocephalus melanopogon'], ['XC410111', 'Porphyrio porphyrio'], ['XC410121', 'Porphyrio porphyrio'], ['XC410140', 'Porphyrio porphyrio'], ['XC411002', 'Charadrius alexandrinus'], ['XC412265', 'Porphyrio porphyrio'], ['XC41249', 'Anas (Mareca) strepera'], ['XC412840', 'Tachybaptus ruficollis'], ['XC413271', 'Himantopus himantopus'], ['XC413273', 'Himantopus himantopus'], ['XC413305', 'Himantopus himantopus'], ['XC414856', 'Botaurus stellaris'], ['XC416671', 'Ciconia ciconia'], ['XC416749', 'Acrocephalus scirpaceus'], ['XC416949', 'Ixobrychus minutus'], ['XC417021', 'Himantopus himantopus'], ['XC417089', 'Botaurus stellaris'], ['XC417119', 'Acrocephalus scirpaceus'], ['XC417157', 'Acrocephalus arundinaceus'], ['XC417158', 'Acrocephalus arundinaceus'], ['XC417425', 'Acrocephalus arundinaceus'], ['XC417722', 'Acrocephalus arundinaceus'], ['XC418140', 'Acrocephalus scirpaceus'], ['XC418401', 'Acrocephalus melanopogon'], ['XC418412', 'Acrocephalus scirpaceus'], ['XC419196', 'Tachybaptus ruficollis'], ['XC419606', 'Acrocephalus arundinaceus'], ['XC420352', 'Acrocephalus arundinaceus'], ['XC420542', 'Acrocephalus arundinaceus'], ['XC421398', 'Acrocephalus scirpaceus'], ['XC421400', 'Acrocephalus scirpaceus'], ['XC421435', 'Acrocephalus scirpaceus'], ['XC421439', 'Acrocephalus scirpaceus'], ['XC421556', 'Acrocephalus scirpaceus'], ['XC421578', 'Acrocephalus scirpaceus'], ['XC422018', 'Acrocephalus arundinaceus'], ['XC422019', 'Acrocephalus arundinaceus'], ['XC422341', 'Tachybaptus ruficollis'], ['XC422437', 'Motacilla flava'], ['XC422660', 'Acrocephalus melanopogon'], ['XC422797', 'Acrocephalus arundinaceus'], ['XC423144', 'Ixobrychus minutus'], ['XC424110', 'Acrocephalus scirpaceus'], ['XC42540', 'Botaurus stellaris'], ['XC42541', 'Botaurus stellaris'], ['XC42542', 'Botaurus stellaris'], ['XC42554', 'Tachybaptus ruficollis'], ['XC425999', 'Alcedo atthis'], ['XC428404', 'Alcedo atthis'], ['XC428706', 'Motacilla flava'], ['XC428707', 'Himantopus himantopus'], ['XC428861', 'Ciconia ciconia'], ['XC428977', 'Acrocephalus arundinaceus'], ['XC429210', 'Acrocephalus scirpaceus'], ['XC429604', 'Porphyrio porphyrio'], ['XC429605', 'Porphyrio porphyrio'], ['XC429606', 'Porphyrio porphyrio'], ['XC429607', 'Porphyrio porphyrio'], ['XC429608', 'Porphyrio porphyrio'], ['XC429780', 'Acrocephalus melanopogon'], ['XC431154', 'Ardea purpurea'], ['XC431155', 'Ixobrychus minutus'], ['XC431157', 'Ixobrychus minutus'], ['XC431158', 'Ixobrychus minutus'], ['XC431217', 'Motacilla flava'], ['XC431789', 'Himantopus himantopus'], ['XC432145', 'Ardea purpurea'], ['XC432223', 'Ardea purpurea'], ['XC432232', 'Charadrius alexandrinus'], ['XC432572', 'Coracias garrulus'], ['XC434438', 'Ixobrychus minutus'], ['XC435064', 'Charadrius alexandrinus'], ['XC436382', 'Fulica atra'], ['XC436465', 'Fulica atra'], ['XC436938', 'Gallinula chloropus'], ['XC437194', 'Alcedo atthis'], ['XC437805', 'Acrocephalus scirpaceus'], ['XC437807', 'Acrocephalus scirpaceus'], ['XC437808', 'Acrocephalus scirpaceus'], ['XC439336', 'Fulica atra'], ['XC440102', 'Porphyrio porphyrio'], ['XC440123', 'Ciconia ciconia'], ['XC440159', 'Himantopus himantopus'], ['XC440361', 'Acrocephalus scirpaceus'], ['XC440482', 'Gallinula chloropus'], ['XC441909', 'Porphyrio porphyrio'], ['XC442159', 'Alcedo atthis'], ['XC442556', 'Acrocephalus melanopogon'], ['XC443794', 'Acrocephalus melanopogon'], ['XC445285', 'Acrocephalus scirpaceus'], ['XC44631', 'Ardea purpurea'], ['XC447310', 'Acrocephalus scirpaceus'], ['XC447433', 'Alcedo atthis'], ['XC447442', 'Circus aeruginosus'], ['XC448652', 'Fulica atra'], ['XC448653', 'Fulica atra'], ['XC448948', 'Himantopus himantopus'], ['XC449187', 'Acrocephalus arundinaceus'], ['XC454200', 'Gallinula chloropus'], ['XC454603', 'Circus aeruginosus'], ['XC454995', 'Himantopus himantopus'], ['XC456255', 'Acrocephalus melanopogon'], ['XC456725', 'Charadrius alexandrinus'], ['XC457036', 'Fulica atra'], ['XC458081', 'Fulica atra'], ['XC458082', 'Fulica atra'], ['XC458084', 'Fulica atra'], ['XC459391', 'Tachybaptus ruficollis'], ['XC459392', 'Tachybaptus ruficollis'], ['XC459393', 'Tachybaptus ruficollis'], ['XC459394', 'Tachybaptus ruficollis'], ['XC459669', 'Fulica atra'], ['XC459686', 'Fulica atra'], ['XC459694', 'Dendrocopos minor'], ['XC459832', 'Ardea purpurea'], ['XC459840', 'Alcedo atthis'], ['XC459861', 'Himantopus himantopus'], ['XC459889', 'Alcedo atthis'], ['XC459964', 'Gallinula chloropus'], ['XC460172', 'Acrocephalus melanopogon'], ['XC460174', 'Acrocephalus melanopogon'], ['XC460195', 'Alcedo atthis'], ['XC461324', 'Fulica atra'], ['XC461762', 'Porphyrio porphyrio'], ['XC462116', 'Fulica atra'], ['XC462742', 'Tachybaptus ruficollis'], ['XC462870', 'Alcedo atthis'], ['XC463076', 'Alcedo atthis'], ['XC463078', 'Alcedo atthis'], ['XC463089', 'Alcedo atthis'], ['XC463296', 'Himantopus himantopus'], ['XC463331', 'Botaurus stellaris'], ['XC463509', 'Alcedo atthis'], ['XC463520', 'Acrocephalus scirpaceus'], ['XC463603', 'Fulica atra'], ['XC464578', 'Gallinula chloropus'], ['XC464633', 'Charadrius alexandrinus'], ['XC465331', 'Acrocephalus scirpaceus'], ['XC465333', 'Acrocephalus scirpaceus'], ['XC465476', 'Gallinula chloropus'], ['XC466132', 'Acrocephalus scirpaceus'], ['XC466157', 'Gallinula chloropus'], ['XC466742', 'Dendrocopos minor'], ['XC466744', 'Acrocephalus melanopogon'], ['XC466746', 'Acrocephalus melanopogon'], ['XC466747', 'Acrocephalus melanopogon'], ['XC466748', 'Acrocephalus melanopogon'], ['XC466765', 'Alcedo atthis'], ['XC466805', 'Fulica atra'], ['XC466883', 'Botaurus stellaris'], ['XC466994', 'Gallinula chloropus'], ['XC467260', 'Gallinula chloropus'], ['XC467261', 'Fulica atra'], ['XC467263', 'Gallinula chloropus'], ['XC467373', 'Ardea purpurea'], ['XC467402', 'Acrocephalus melanopogon'], ['XC467403', 'Acrocephalus melanopogon'], ['XC467596', 'Fulica atra'], ['XC467851', 'Acrocephalus arundinaceus'], ['XC468672', 'Fulica atra'], ['XC469295', 'Acrocephalus scirpaceus'], ['XC469410', 'Alcedo atthis'], ['XC469570', 'Circus aeruginosus'], ['XC469783', 'Fulica atra'], ['XC469794', 'Himantopus himantopus'], ['XC469957', 'Motacilla flava'], ['XC469959', 'Motacilla flava'], ['XC469976', 'Ardea purpurea'], ['XC470195', 'Gallinula chloropus'], ['XC470261', 'Himantopus himantopus'], ['XC470347', 'Acrocephalus scirpaceus'], ['XC470421', 'Ciconia ciconia'], ['XC470470', 'Porphyrio porphyrio'], ['XC470564', 'Anas (Mareca) strepera'], ['XC470657', 'Dendrocopos minor'], ['XC470740', 'Porphyrio porphyrio'], ['XC470769', 'Alcedo atthis'], ['XC470995', 'Gallinula chloropus'], ['XC471249', 'Gallinula chloropus'], ['XC471545', 'Ardea purpurea'], ['XC471554', 'Motacilla flava'], ['XC471558', 'Motacilla flava'], ['XC471731', 'Tachybaptus ruficollis'], ['XC471768', 'Tachybaptus ruficollis'], ['XC471769', 'Tachybaptus ruficollis'], ['XC471968', 'Acrocephalus scirpaceus'], ['XC472589', 'Ardea purpurea'], ['XC473249', 'Acrocephalus arundinaceus'], ['XC473571', 'Acrocephalus arundinaceus'], ['XC473833', 'Acrocephalus scirpaceus'], ['XC473930', 'Acrocephalus scirpaceus'], ['XC473954', 'Circus aeruginosus'], ['XC474017', 'Circus aeruginosus'], ['XC474019', 'Circus aeruginosus'], ['XC474176', 'Alcedo atthis'], ['XC474931', 'Acrocephalus scirpaceus'], ['XC475474', 'Acrocephalus arundinaceus'], ['XC475479', 'Acrocephalus arundinaceus'], ['XC475965', 'Acrocephalus arundinaceus'], ['XC476146', 'Acrocephalus arundinaceus'], ['XC476409', 'Acrocephalus scirpaceus'], ['XC476854', 'Motacilla flava'], ['XC477007', 'Coracias garrulus'], ['XC477329', 'Coracias garrulus'], ['XC477330', 'Coracias garrulus'], ['XC477331', 'Coracias garrulus'], ['XC477444', 'Motacilla flava'], ['XC477688', 'Acrocephalus arundinaceus'], ['XC477749', 'Gallinula chloropus'], ['XC477945', 'Acrocephalus arundinaceus'], ['XC478070', 'Gallinula chloropus'], ['XC478415', 'Acrocephalus arundinaceus'], ['XC478424', 'Himantopus himantopus'], ['XC478425', 'Himantopus himantopus'], ['XC478498', 'Ixobrychus minutus'], ['XC478568', 'Gallinula chloropus'], ['XC478850', 'Acrocephalus arundinaceus'], ['XC478876', 'Gallinula chloropus'], ['XC479839', 'Acrocephalus arundinaceus'], ['XC479924', 'Tachybaptus ruficollis'], ['XC479946', 'Himantopus himantopus'], ['XC479978', 'Acrocephalus arundinaceus'], ['XC480053', 'Acrocephalus melanopogon'], ['XC480061', 'Acrocephalus arundinaceus'], ['XC480203', 'Ardea purpurea'], ['XC480979', 'Fulica atra'], ['XC481289', 'Ardea purpurea'], ['XC481399', 'Himantopus himantopus'], ['XC481404', 'Himantopus himantopus'], ['XC481405', 'Himantopus himantopus'], ['XC481567', 'Acrocephalus scirpaceus'], ['XC482370', 'Fulica atra'], ['XC483334', 'Fulica atra'], ['XC483554', 'Fulica atra'], ['XC483557', 'Gallinula chloropus'], ['XC483692', 'Fulica atra'], ['XC483694', 'Fulica atra'], ['XC483697', 'Fulica atra'], ['XC483906', 'Acrocephalus arundinaceus'], ['XC484626', 'Dendrocopos minor'], ['XC484717', 'Motacilla flava'], ['XC485245', 'Ardea purpurea'], ['XC485312', 'Fulica atra'], ['XC485349', 'Charadrius alexandrinus'], ['XC485350', 'Charadrius alexandrinus'], ['XC485377', 'Ardea purpurea'], ['XC485380', 'Acrocephalus scirpaceus'], ['XC485381', 'Tachybaptus ruficollis'], ['XC486202', 'Alcedo atthis'], ['XC486755', 'Gallinula chloropus'], ['XC487692', 'Gallinula chloropus'], ['XC487693', 'Gallinula chloropus'], ['XC487843', 'Himantopus himantopus'], ['XC487848', 'Himantopus himantopus'], ['XC488300', 'Acrocephalus arundinaceus'], ['XC488301', 'Acrocephalus arundinaceus'], ['XC488409', 'Acrocephalus arundinaceus'], ['XC489350', 'Alcedo atthis'], ['XC489445', 'Ixobrychus minutus'], ['XC490614', 'Ixobrychus minutus'], ['XC490838', 'Alcedo atthis'], ['XC491787', 'Ixobrychus minutus'], ['XC493312', 'Alcedo atthis'], ['XC494524', 'Charadrius alexandrinus'], ['XC494536', 'Charadrius alexandrinus'], ['XC494537', 'Charadrius alexandrinus'], ['XC495092', 'Himantopus himantopus'], ['XC495533', 'Fulica atra'], ['XC495852', 'Fulica atra'], ['XC495975', 'Alcedo atthis'], ['XC496271', 'Fulica atra'], ['XC496380', 'Himantopus himantopus'], ['XC496443', 'Coracias garrulus'], ['XC497345', 'Porphyrio porphyrio'], ['XC497799', 'Tachybaptus ruficollis'], ['XC498608', 'Alcedo atthis'], ['XC499043', 'Alcedo atthis'], ['XC499081', 'Alcedo atthis'], ['XC499150', 'Porphyrio porphyrio'], ['XC499646', 'Alcedo atthis'], ['XC499652', 'Alcedo atthis'], ['XC500306', 'Alcedo atthis'], ['XC500406', 'Ciconia ciconia'], ['XC500624', 'Himantopus himantopus'], ['XC500750', 'Dendrocopos minor'], ['XC500751', 'Dendrocopos minor'], ['XC501144', 'Alcedo atthis'], ['XC501772', 'Circus aeruginosus'], ['XC501872', 'Fulica atra'], ['XC502956', 'Tachybaptus ruficollis'], ['XC502961', 'Alcedo atthis'], ['XC503769', 'Alcedo atthis'], ['XC503772', 'Alcedo atthis'], ['XC504105', 'Fulica atra'], ['XC504113', 'Gallinula chloropus'], ['XC505719', 'Alcedo atthis'], ['XC505960', 'Porphyrio porphyrio'], ['XC509421', 'Tachybaptus ruficollis'], ['XC509443', 'Alcedo atthis'], ['XC509674', 'Alcedo atthis'], ['XC510178', 'Himantopus himantopus'], ['XC510499', 'Fulica atra'], ['XC510569', 'Fulica atra'], ['XC510571', 'Fulica atra'], ['XC510585', 'Gallinula chloropus'], ['XC510716', 'Tachybaptus ruficollis'], ['XC510720', 'Tachybaptus ruficollis'], ['XC511182', 'Acrocephalus arundinaceus'], ['XC511183', 'Acrocephalus arundinaceus'], ['XC511184', 'Acrocephalus scirpaceus'], ['XC511190', 'Acrocephalus scirpaceus'], ['XC511192', 'Acrocephalus scirpaceus'], ['XC511193', 'Acrocephalus scirpaceus'], ['XC511641', 'Alcedo atthis'], ['XC511642', 'Alcedo atthis'], ['XC511647', 'Alcedo atthis'], ['XC511664', 'Alcedo atthis'], ['XC511665', 'Alcedo atthis'], ['XC511666', 'Alcedo atthis'], ['XC511667', 'Alcedo atthis'], ['XC511668', 'Alcedo atthis'], ['XC511669', 'Alcedo atthis'], ['XC511670', 'Alcedo atthis'], ['XC511671', 'Alcedo atthis'], ['XC511672', 'Alcedo atthis'], ['XC511673', 'Alcedo atthis'], ['XC511674', 'Alcedo atthis'], ['XC511677', 'Alcedo atthis'], ['XC511697', 'Acrocephalus scirpaceus'], ['XC512909', 'Anas platyrhynchos'], ['XC513304', 'Fulica atra'], ['XC514029', 'Himantopus himantopus'], ['XC514030', 'Himantopus himantopus'], ['XC514729', 'Himantopus himantopus'], ['XC514731', 'Himantopus himantopus'], ['XC515865', 'Ardea purpurea'], ['XC516174', 'Acrocephalus melanopogon'], ['XC516379', 'Tachybaptus ruficollis'], ['XC518345', 'Porphyrio porphyrio'], ['XC518346', 'Porphyrio porphyrio'], ['XC518347', 'Porphyrio porphyrio'], ['XC518348', 'Porphyrio porphyrio'], ['XC518349', 'Porphyrio porphyrio'], ['XC518351', 'Circus aeruginosus'], ['XC518425', 'Ciconia ciconia'], ['XC518432', 'Tachybaptus ruficollis'], ['XC518527', 'Tachybaptus ruficollis'], ['XC519437', 'Fulica atra'], ['XC519587', 'Motacilla flava'], ['XC519898', 'Botaurus stellaris'], ['XC519899', 'Botaurus stellaris'], ['XC519927', 'Acrocephalus arundinaceus'], ['XC519985', 'Dendrocopos minor'], ['XC519994', 'Acrocephalus scirpaceus'], ['XC520116', 'Tachybaptus ruficollis'], ['XC520709', 'Alcedo atthis'], ['XC521464', 'Porphyrio porphyrio'], ['XC521562', 'Anas platyrhynchos'], ['XC521563', 'Anas platyrhynchos'], ['XC521611', 'Ciconia ciconia'], ['XC521814', 'Porphyrio porphyrio'], ['XC522273', 'Charadrius alexandrinus'], ['XC522340', 'Acrocephalus melanopogon'], ['XC522491', 'Fulica atra'], ['XC522819', 'Alcedo atthis'], ['XC522864', 'Acrocephalus arundinaceus'], ['XC522990', 'Alcedo atthis'], ['XC522991', 'Alcedo atthis'], ['XC524288', 'Botaurus stellaris'], ['XC524524', 'Motacilla flava'], ['XC526231', 'Charadrius alexandrinus'], ['XC526232', 'Charadrius alexandrinus'], ['XC526238', 'Alcedo atthis'], ['XC526276', 'Alcedo atthis'], ['XC527477', 'Ciconia ciconia'], ['XC527806', 'Gallinula chloropus'], ['XC528227', 'Dendrocopos minor'], ['XC528507', 'Gallinula chloropus'], ['XC528508', 'Gallinula chloropus'], ['XC529190', 'Gallinula chloropus'], ['XC529774', 'Acrocephalus melanopogon'], ['XC531395', 'Himantopus himantopus'], ['XC533927', 'Gallinula chloropus'], ['XC534240', 'Dendrocopos minor'], ['XC534416', 'Fulica atra'], ['XC534607', 'Alcedo atthis'], ['XC534750', 'Gallinula chloropus'], ['XC534754', 'Gallinula chloropus'], ['XC534756', 'Gallinula chloropus'], ['XC536892', 'Anas platyrhynchos'], ['XC536895', 'Anas platyrhynchos'], ['XC538130', 'Alcedo atthis'], ['XC538132', 'Alcedo atthis'], ['XC538144', 'Fulica atra'], ['XC538213', 'Fulica atra'], ['XC538422', 'Ciconia ciconia'], ['XC538423', 'Ciconia ciconia'], ['XC538467', 'Ixobrychus minutus'], ['XC538478', 'Ixobrychus minutus'], ['XC538710', 'Gallinula chloropus'], ['XC538750', 'Fulica atra'], ['XC538941', 'Alcedo atthis'], ['XC538943', 'Alcedo atthis'], ['XC539273', 'Gallinula chloropus'], ['XC539614', 'Dendrocopos minor'], ['XC539686', 'Ixobrychus minutus'], ['XC540348', 'Fulica atra'], ['XC540475', 'Fulica atra'], ['XC540685', 'Fulica atra'], ['XC540742', 'Fulica atra'], ['XC540804', 'Gallinula chloropus'], ['XC540808', 'Gallinula chloropus'], ['XC542331', 'Gallinula chloropus'], ['XC542351', 'Acrocephalus melanopogon'], ['XC542356', 'Acrocephalus melanopogon'], ['XC542357', 'Acrocephalus melanopogon'], ['XC542359', 'Gallinula chloropus'], ['XC542543', 'Gallinula chloropus'], ['XC542651', 'Gallinula chloropus'], ['XC543233', 'Fulica atra'], ['XC543411', 'Gallinula chloropus'], ['XC543454', 'Fulica atra'], ['XC543771', 'Fulica atra'], ['XC543793', 'Gallinula chloropus'], ['XC544319', 'Fulica atra'], ['XC544658', 'Alcedo atthis'], ['XC544680', 'Circus aeruginosus'], ['XC544685', 'Botaurus stellaris'], ['XC544686', 'Circus aeruginosus'], ['XC544846', 'Charadrius alexandrinus'], ['XC544857', 'Dendrocopos minor'], ['XC544935', 'Gallinula chloropus'], ['XC545123', 'Gallinula chloropus'], ['XC545223', 'Fulica atra'], ['XC545614', 'Gallinula chloropus'], ['XC545755', 'Gallinula chloropus'], ['XC545994', 'Gallinula chloropus'], ['XC546757', 'Gallinula chloropus'], ['XC547095', 'Circus aeruginosus'], ['XC547368', 'Gallinula chloropus'], ['XC548338', 'Gallinula chloropus'], ['XC548458', 'Fulica atra'], ['XC548542', 'Botaurus stellaris'], ['XC548742', 'Gallinula chloropus'], ['XC548770', 'Fulica atra'], ['XC548772', 'Gallinula chloropus'], ['XC548774', 'Gallinula chloropus'], ['XC548775', 'Gallinula chloropus'], ['XC548777', 'Gallinula chloropus'], ['XC548872', 'Fulica atra'], ['XC550266', 'Fulica atra'], ['XC550870', 'Dendrocopos minor'], ['XC552628', 'Dendrocopos minor'], ['XC552636', 'Dendrocopos minor'], ['XC67347', 'Ixobrychus minutus'], ['XC67350', 'Himantopus himantopus'], ['XC67351', 'Himantopus himantopus'], ['XC81916', 'Circus aeruginosus'], ['XC88896', 'Botaurus stellaris'], ['XC90128', 'Himantopus himantopus'], ['XC90713', 'Botaurus stellaris'], ['XC91179', 'Ciconia ciconia'], ['XC93331', 'Ciconia ciconia'], ['XC97974', 'Tachybaptus ruficollis']]\n" + ] + } + ], + "execution_count": 23 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:29:32.760177Z", + "start_time": "2024-06-18T13:29:32.756319Z" + } + }, + "source": [ + "from collections import defaultdict\n", + "\n", + "audios_per_bird = defaultdict(list)\n", + "for audio in bird_info:\n", + " bird_name = audio[1]\n", + " audios_per_bird[bird_name].append(audio[0])\n", + "\n", + "train_audio_names = []\n", + "test_audio_names = []\n", + "\n", + "for bird, audios in audios_per_bird.items():\n", + " num_audios = len(audios)\n", + " num_train = int(0.7 * num_audios)\n", + "\n", + " train_audio_names.extend([audio for audio in audios[:num_train]])\n", + " test_audio_names.extend([audio for audio in audios[num_train:]])\n", + "\n", + "print(\"Training list:\")\n", + "print(train_audio_names)\n", + "\n", + "print(\"Testing list:\")\n", + "print(test_audio_names)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training list:\n", + "['XC100296', 'XC120378', 'XC171445', 'XC172692', 'XC180756', 'XC184313', 'XC184314', 'XC184429', 'XC214099', 'XC215785', 'XC216709', 'XC216710', 'XC234105', 'XC237486', 'XC25558', 'XC280964', 'XC280965', 'XC280966', 'XC293293', 'XC299191', 'XC309607', 'XC310507', 'XC314697', 'XC315733', 'XC317323', 'XC317421', 'XC326162', 'XC340916', 'XC354109', 'XC354111', 'XC361803', 'XC361804', 'XC361806', 'XC362697', 'XC363294', 'XC367219', 'XC372105', 'XC37543', 'XC396412', 'XC100619', 'XC100621', 'XC100622', 'XC112488', 'XC131532', 'XC134843', 'XC143954', 'XC145121', 'XC161966', 'XC164817', 'XC189879', 'XC189882', 'XC189883', 'XC196976', 'XC205076', 'XC235176', 'XC262846', 'XC269744', 'XC269745', 'XC280997', 'XC280998', 'XC296061', 'XC341264', 'XC357371', 'XC365601', 'XC102793', 'XC102794', 'XC103696', 'XC134257', 'XC154563', 'XC154909', 'XC155710', 'XC164172', 'XC184433', 'XC184434', 'XC208705', 'XC223168', 'XC252756', 'XC252757', 'XC270056', 'XC281357', 'XC281358', 'XC281359', 'XC281360', 'XC296053', 'XC307038', 'XC314267', 'XC314269', 'XC316371', 'XC324343', 'XC345884', 'XC345889', 'XC345951', 'XC372401', 'XC103243', 'XC106971', 'XC134761', 'XC134762', 'XC146712', 'XC149153', 'XC156081', 'XC180287', 'XC180605', 'XC186806', 'XC245725', 'XC253188', 'XC270427', 'XC270428', 'XC288186', 'XC340917', 'XC35968', 'XC35969', 'XC373853', 'XC376813', 'XC377102', 'XC379836', 'XC379837', 'XC379838', 'XC416949', 'XC423144', 'XC106948', 'XC134457', 'XC141019', 'XC145159', 'XC163297', 'XC172478', 'XC172480', 'XC213784', 'XC253273', 'XC310528', 'XC310529', 'XC329900', 'XC329910', 'XC347269', 'XC356695', 'XC356696', 'XC357198', 'XC357368', 'XC357387', 'XC357630', 'XC357888', 'XC358560', 'XC358628', 'XC358629', 'XC360704', 'XC360705', 'XC406576', 'XC408868', 'XC418401', 'XC422660', 'XC429780', 'XC442556', 'XC443794', 'XC456255', 'XC109629', 'XC208527', 'XC209951', 'XC210379', 'XC26959', 'XC26960', 'XC113587', 'XC113968', 'XC127375', 'XC196991', 'XC207216', 'XC287835', 'XC303987', 'XC303989', 'XC304006', 'XC306130', 'XC340598', 'XC348396', 'XC357023', 'XC118195', 'XC132077', 'XC132435', 'XC134081', 'XC144533', 'XC154289', 'XC154931', 'XC155092', 'XC184422', 'XC190968', 'XC206253', 'XC206255', 'XC263296', 'XC263298', 'XC277591', 'XC280353', 'XC281044', 'XC281045', 'XC29798', 'XC312572', 'XC313565', 'XC328055', 'XC332043', 'XC332533', 'XC338279', 'XC338280', 'XC338283', 'XC347981', 'XC370227', 'XC370744', 'XC374912', 'XC374913', 'XC379892', 'XC385622', 'XC413271', 'XC413273', 'XC413305', 'XC417021', 'XC428707', 'XC431789', 'XC440159', 'XC448948', 'XC454995', 'XC459861', 'XC463296', 'XC469794', 'XC120332', 'XC135658', 'XC144531', 'XC155665', 'XC182877', 'XC185101', 'XC185103', 'XC185104', 'XC185268', 'XC185273', 'XC318414', 'XC318416', 'XC318417', 'XC318418', 'XC333813', 'XC333823', 'XC338275', 'XC338276', 'XC338277', 'XC339477', 'XC339478', 'XC339480', 'XC341211', 'XC341212', 'XC341986', 'XC358986', 'XC359026', 'XC366752', 'XC367088', 'XC371000', 'XC371001', 'XC371002', 'XC371003', 'XC371004', 'XC371155', 'XC376954', 'XC376955', 'XC120411', 'XC129156', 'XC129193', 'XC129377', 'XC133548', 'XC135278', 'XC142515', 'XC150591', 'XC153193', 'XC171122', 'XC197138', 'XC236456', 'XC236458', 'XC308991', 'XC310709', 'XC312823', 'XC314610', 'XC329937', 'XC356856', 'XC364346', 'XC383514', 'XC400197', 'XC401830', 'XC405096', 'XC407219', 'XC459694', 'XC466742', 'XC120730', 'XC121174', 'XC134051', 'XC141170', 'XC141571', 'XC185305', 'XC188143', 'XC188144', 'XC188145', 'XC188146', 'XC188147', 'XC188148', 'XC188149', 'XC188150', 'XC240134', 'XC312051', 'XC129188', 'XC134073', 'XC134219', 'XC134221', 'XC135579', 'XC141171', 'XC149045', 'XC149069', 'XC149070', 'XC149071', 'XC149072', 'XC154554', 'XC154555', 'XC167717', 'XC169478', 'XC171088', 'XC172946', 'XC181349', 'XC235721', 'XC244232', 'XC253191', 'XC25468', 'XC27569', 'XC295996', 'XC327581', 'XC340922', 'XC372950', 'XC379596', 'XC134240', 'XC153870', 'XC161931', 'XC183432', 'XC183433', 'XC183440', 'XC215129', 'XC225374', 'XC232846', 'XC26929', 'XC26930', 'XC280719', 'XC280980', 'XC280981', 'XC280982', 'XC280983', 'XC280984', 'XC301648', 'XC317692', 'XC356385', 'XC357687', 'XC357688', 'XC357885', 'XC367685', 'XC373560', 'XC377189', 'XC388290', 'XC388291', 'XC40189', 'XC407138', 'XC407139', 'XC412840', 'XC419196', 'XC422341', 'XC42554', 'XC459391', 'XC459392', 'XC459393', 'XC135429', 'XC150699', 'XC166246', 'XC184842', 'XC191096', 'XC205050', 'XC227072', 'XC237893', 'XC265127', 'XC270373', 'XC276851', 'XC277204', 'XC279853', 'XC279854', 'XC280978', 'XC298591', 'XC299495', 'XC311152', 'XC311153', 'XC318091', 'XC343737', 'XC356656', 'XC362363', 'XC369056', 'XC374911', 'XC380536', 'XC380537', 'XC381813', 'XC431154', 'XC267202', 'XC292201', 'XC299330', 'XC302642', 'XC303341', 'XC336861', 'XC336862', 'XC336866', 'XC337592', 'XC337594', 'XC357495', 'XC357910', 'XC357911', 'XC357912', 'XC357913', 'XC357914', 'XC358495', 'XC358561', 'XC358639', 'XC367080', 'XC367081', 'XC380967', 'XC381727', 'XC381860', 'XC381861', 'XC381862', 'XC386307', 'XC399454', 'XC399455', 'XC410111', 'XC410121', 'XC410140', 'XC412265', 'XC429604', 'XC429605', 'XC429606', 'XC429607', 'XC395186', 'XC402382', 'XC425999', 'XC428404', 'XC437194', 'XC442159', 'XC447433', 'XC459840', 'XC459889', 'XC460195', 'XC462870', 'XC463076', 'XC463078', 'XC463089', 'XC463509', 'XC466765', 'XC469410', 'XC470769', 'XC474176', 'XC486202', 'XC489350', 'XC490838', 'XC493312', 'XC495975', 'XC498608', 'XC499043', 'XC499081', 'XC499646', 'XC499652', 'XC500306', 'XC501144', 'XC502961', 'XC503769', 'XC503772', 'XC505719', 'XC509443', 'XC509674', 'XC511641', 'XC511642', 'XC511647', 'XC511664', 'XC511665', 'XC511666', 'XC511667', 'XC416749', 'XC417119', 'XC418140', 'XC418412', 'XC421398', 'XC421400', 'XC421435', 'XC421439', 'XC421556', 'XC421578', 'XC424110', 'XC429210', 'XC437805', 'XC437807', 'XC437808', 'XC440361', 'XC445285', 'XC447310', 'XC463520', 'XC465331', 'XC465333', 'XC466132', 'XC469295', 'XC470347', 'XC471968', 'XC417157', 'XC417158', 'XC417425', 'XC417722', 'XC419606', 'XC420352', 'XC420542', 'XC422018', 'XC422019', 'XC422797', 'XC428977', 'XC449187', 'XC467851', 'XC473249', 'XC473571', 'XC475474', 'XC475479', 'XC475965', 'XC476146', 'XC477688', 'XC477945', 'XC478415', 'XC478850', 'XC436382', 'XC436465', 'XC439336', 'XC448652', 'XC448653', 'XC457036', 'XC458081', 'XC458082', 'XC458084', 'XC459669', 'XC459686', 'XC461324', 'XC462116', 'XC463603', 'XC466805', 'XC467261', 'XC467596', 'XC468672', 'XC469783', 'XC480979', 'XC482370', 'XC483334', 'XC483554', 'XC483692', 'XC483694', 'XC483697', 'XC485312', 'XC495533', 'XC495852', 'XC496271', 'XC501872', 'XC504105', 'XC510499', 'XC510569', 'XC510571', 'XC513304', 'XC519437', 'XC522491', 'XC436938', 'XC440482', 'XC454200', 'XC459964', 'XC464578', 'XC465476', 'XC466157', 'XC466994', 'XC467260', 'XC467263', 'XC470195', 'XC470995', 'XC471249', 'XC477749', 'XC478070', 'XC478568', 'XC478876', 'XC483557', 'XC486755', 'XC487692', 'XC487693', 'XC504113', 'XC510585', 'XC527806', 'XC528507', 'XC528508', 'XC529190', 'XC533927', 'XC534750', 'XC534754', 'XC534756', 'XC538710', 'XC539273', 'XC540804', 'XC540808', 'XC542331', 'XC542359']\n", + "Testing list:\n", + "['XC396413', 'XC396414', 'XC396416', 'XC414856', 'XC417089', 'XC42540', 'XC42541', 'XC42542', 'XC463331', 'XC466883', 'XC519898', 'XC519899', 'XC524288', 'XC544685', 'XC548542', 'XC88896', 'XC90713', 'XC447442', 'XC454603', 'XC469570', 'XC473954', 'XC474017', 'XC474019', 'XC501772', 'XC518351', 'XC544680', 'XC544686', 'XC547095', 'XC81916', 'XC379953', 'XC422437', 'XC428706', 'XC431217', 'XC469957', 'XC469959', 'XC471554', 'XC471558', 'XC476854', 'XC477444', 'XC484717', 'XC519587', 'XC524524', 'XC431155', 'XC431157', 'XC431158', 'XC434438', 'XC478498', 'XC489445', 'XC490614', 'XC491787', 'XC538467', 'XC538478', 'XC539686', 'XC67347', 'XC460172', 'XC460174', 'XC466744', 'XC466746', 'XC466747', 'XC466748', 'XC467402', 'XC467403', 'XC480053', 'XC516174', 'XC522340', 'XC529774', 'XC542351', 'XC542356', 'XC542357', 'XC364458', 'XC41249', 'XC470564', 'XC367038', 'XC512909', 'XC521562', 'XC521563', 'XC536892', 'XC536895', 'XC470261', 'XC478424', 'XC478425', 'XC479946', 'XC481399', 'XC481404', 'XC481405', 'XC487843', 'XC487848', 'XC495092', 'XC496380', 'XC500624', 'XC510178', 'XC514029', 'XC514030', 'XC514729', 'XC514731', 'XC531395', 'XC67350', 'XC67351', 'XC90128', 'XC376956', 'XC376958', 'XC376959', 'XC411002', 'XC432232', 'XC435064', 'XC456725', 'XC464633', 'XC485349', 'XC485350', 'XC494524', 'XC494536', 'XC494537', 'XC522273', 'XC526231', 'XC526232', 'XC544846', 'XC470657', 'XC484626', 'XC500750', 'XC500751', 'XC519985', 'XC528227', 'XC534240', 'XC539614', 'XC544857', 'XC550870', 'XC552628', 'XC552636', 'XC31615', 'XC318427', 'XC432572', 'XC477007', 'XC477329', 'XC477330', 'XC477331', 'XC496443', 'XC416671', 'XC428861', 'XC440123', 'XC470421', 'XC500406', 'XC518425', 'XC521611', 'XC527477', 'XC538422', 'XC538423', 'XC91179', 'XC93331', 'XC459394', 'XC462742', 'XC471731', 'XC471768', 'XC471769', 'XC479924', 'XC485381', 'XC497799', 'XC502956', 'XC509421', 'XC510716', 'XC510720', 'XC516379', 'XC518432', 'XC518527', 'XC520116', 'XC97974', 'XC432145', 'XC432223', 'XC44631', 'XC459832', 'XC467373', 'XC469976', 'XC471545', 'XC472589', 'XC480203', 'XC481289', 'XC485245', 'XC485377', 'XC515865', 'XC429608', 'XC440102', 'XC441909', 'XC461762', 'XC470470', 'XC470740', 'XC497345', 'XC499150', 'XC505960', 'XC518345', 'XC518346', 'XC518347', 'XC518348', 'XC518349', 'XC521464', 'XC521814', 'XC511668', 'XC511669', 'XC511670', 'XC511671', 'XC511672', 'XC511673', 'XC511674', 'XC511677', 'XC520709', 'XC522819', 'XC522990', 'XC522991', 'XC526238', 'XC526276', 'XC534607', 'XC538130', 'XC538132', 'XC538941', 'XC538943', 'XC544658', 'XC473833', 'XC473930', 'XC474931', 'XC476409', 'XC481567', 'XC485380', 'XC511184', 'XC511190', 'XC511192', 'XC511193', 'XC511697', 'XC519994', 'XC479839', 'XC479978', 'XC480061', 'XC483906', 'XC488300', 'XC488301', 'XC488409', 'XC511182', 'XC511183', 'XC519927', 'XC522864', 'XC534416', 'XC538144', 'XC538213', 'XC538750', 'XC540348', 'XC540475', 'XC540685', 'XC540742', 'XC543233', 'XC543454', 'XC543771', 'XC544319', 'XC545223', 'XC548458', 'XC548770', 'XC548872', 'XC550266', 'XC542543', 'XC542651', 'XC543411', 'XC543793', 'XC544935', 'XC545123', 'XC545614', 'XC545755', 'XC545994', 'XC546757', 'XC547368', 'XC548338', 'XC548742', 'XC548772', 'XC548774', 'XC548775', 'XC548777']\n" + ] + } + ], + "execution_count": 24 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:29:54.192419Z", + "start_time": "2024-06-18T13:29:41.278341Z" + } + }, + "source": [ + "# Create a new file h5 to store the data for training the model\n", + "with ( h5py.File(os.path.abspath(\"./data/data_train.h5\"), \"w\") as hf_train,\n", + " h5py.File(os.path.abspath(\"./data/spectrograms.h5\")) as hf ):\n", + " # Create group \"X\" to store the spectograms\n", + " X_group = hf_train.create_group(\"X\")\n", + "\n", + " # Create group \"y\" to store the names of the birds (labels)\n", + " y_group = hf_train.create_group(\"y\")\n", + "\n", + " for audio_name in train_audio_names:\n", + " # get the name of the corresponding bird\n", + " bird_name = hf[audio_name].attrs[\"bird\"]\n", + "\n", + " # read the spectograms of the audio\n", + " spectrogram_names = list(hf[audio_name].keys())\n", + "\n", + " for spectrogram_name in spectrogram_names:\n", + " # Read the espectogram\n", + " spectrogram_data = hf[audio_name][spectrogram_name][...]\n", + " # Save the espectogram in group X\n", + " X_group.create_dataset(spectrogram_name, data=spectrogram_data)\n", + " # Save the name of the corresponding bird in th group Y\n", + " y_group.create_dataset(spectrogram_name, data=bird_name)\n", + " \n", + "# create the LabelEncoder\n", + "le = LabelEncoder()\n", + "X_train = []\n", + "y_train = []\n", + "\n", + "# Agrupamos espectrogramas\n", + "with h5py.File(os.path.abspath(\"./data/data_train.h5\")) as hf_train:\n", + " # Access to a specific group\n", + " group_Xtrain = 'X'\n", + " group_ytrain = 'y'\n", + " groupXtrain = hf_train[group_Xtrain]\n", + " groupytrain = hf_train[group_ytrain]\n", + "\n", + " # Apilamos espectrogramas y labels\n", + " for key in groupXtrain.keys():\n", + " spectogram = groupXtrain[key]\n", + " X_train.append(spectogram[()])\n", + "\n", + " for key in groupytrain.keys():\n", + " bird = groupytrain[key]\n", + " y_train.append(bird[()])\n" + ], + "outputs": [], + "execution_count": 25 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:29:58.919242Z", + "start_time": "2024-06-18T13:29:58.911398Z" + } + }, + "source": [ + "y_train = [data.decode('utf-8') for data in y_train]\n", + "y_train" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "['Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Motacilla flava',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Acrocephalus melanopogon',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Ixobrychus minutus',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Anas (Mareca) strepera',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Charadrius alexandrinus',\n", + " 'Charadrius alexandrinus',\n", + " 'Charadrius alexandrinus',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Botaurus stellaris',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Anas platyrhynchos',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Circus aeruginosus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Dendrocopos minor',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Coracias garrulus',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Himantopus himantopus',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Ciconia ciconia',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " 'Tachybaptus ruficollis',\n", + " ...]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 26 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:30:03.833944Z", + "start_time": "2024-06-18T13:30:03.826641Z" + } + }, + "source": [ + "print(len(X_train))\n", + "print(X_train[0])\n", + "print(len(y_train))\n", + "print(y_train[0])\n", + "\n", + "# Encode the labels\n", + "y_train = le.fit_transform(y_train)\n", + "print(y_train)\n", + "# Print the labels of the numeric values\n", + "print(le.classes_)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "12401\n", + "[[-21.927137 -15.885366 -19.596134 ... -18.738977 -23.22766\n", + " -17.782948 ]\n", + " [-12.636152 -11.506808 -11.128322 ... -10.50968 -10.998185\n", + " -10.78977 ]\n", + " [-12.187175 -11.1988535 -9.465328 ... -12.4952135 -8.489763\n", + " -6.875704 ]\n", + " ...\n", + " [-30.68443 -33.02369 -44.774403 ... -43.156998 -44.312088\n", + " -45.63829 ]\n", + " [-31.113174 -33.508293 -51.244854 ... -46.52222 -44.80766\n", + " -45.12627 ]\n", + " [-31.21983 -33.517517 -46.67358 ... -47.840645 -51.671494\n", + " -52.546104 ]]\n", + "12401\n", + "Botaurus stellaris\n", + "[ 7 7 7 ... 14 14 14]\n", + "['Acrocephalus arundinaceus' 'Acrocephalus melanopogon'\n", + " 'Acrocephalus scirpaceus' 'Alcedo atthis' 'Anas (Mareca) strepera'\n", + " 'Anas platyrhynchos' 'Ardea purpurea' 'Botaurus stellaris'\n", + " 'Charadrius alexandrinus' 'Ciconia ciconia' 'Circus aeruginosus'\n", + " 'Coracias garrulus' 'Dendrocopos minor' 'Fulica atra'\n", + " 'Gallinula chloropus' 'Himantopus himantopus' 'Ixobrychus minutus'\n", + " 'Motacilla flava' 'Porphyrio porphyrio' 'Tachybaptus ruficollis']\n" + ] + } + ], + "execution_count": 27 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:30:10.451757Z", + "start_time": "2024-06-18T13:30:08.603415Z" + } + }, + "source": [ + "X_train = np.array(X_train)\n", + "y_train = np.array(y_train)\n", + "\n", + "X_train = X_train / 255.0\n", + "\n", + "X_train = X_train.reshape((-1, 224, 224, 1))\n", + "print(X_train.shape)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(12401, 224, 224, 1)\n" + ] + } + ], + "execution_count": 28 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T13:30:13.388811Z", + "start_time": "2024-06-18T13:30:13.386809Z" + } + }, + "source": [ + "print(y_train.shape)\n", + "print(len(y_train))" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(12401,)\n", + "12401\n" + ] + } + ], + "execution_count": 29 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:05:54.080673Z", + "start_time": "2024-06-18T13:30:17.748479Z" + } + }, + "source": [ + "from keras.src.losses import SparseCategoricalCrossentropy\n", + "\n", + "# Si el modelo no existe, entrenarlo y guardarlo,\n", + "if not os.path.exists(os.path.abspath(\"./data/DL_model_birds.h5\")):\n", + " # CNN model\n", + " model = models.Sequential([\n", + " layers.Conv2D(32, (3, 3), activation='relu', input_shape=(224, 224, 1)),\n", + " layers.MaxPooling2D((2, 2)),\n", + " layers.Conv2D(64, (3, 3), activation='relu'),\n", + " layers.MaxPooling2D((2, 2)),\n", + " layers.Conv2D(128, (3, 3), activation='relu'),\n", + " layers.MaxPooling2D((2, 2)),\n", + " layers.Conv2D(256, (3, 3), activation='relu'),\n", + " layers.Dropout(0.5),\n", + " layers.Flatten(),\n", + " layers.Dense(64, activation='relu'),\n", + " layers.Dropout(0.5),\n", + " layers.Dense(20) \n", + " ])\n", + " \n", + " # Compilar el modelo\n", + " model.compile(optimizer='adam', loss=SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])\n", + " \n", + " # Entrenar el modelo\n", + " model.fit(X_train, y_train, epochs=35)\n", + " \n", + " # Guardar el modelo\n", + " model.save(os.path.abspath(\"./data/DL_model_birds.h5\"))\n", + " print(f\"Modelo guardado exitosamente en {os.path.abspath('./data/DL_model_birds.h5')}\")\n", + "else:\n", + " from tensorflow.keras.models import load_model\n", + " # cargar el modelo\n", + " model = load_model(os.path.abspath(\"./data/DL_model_birds.h5\"))\n", + " print(f\"Cargamos el modelo desde el archivo {os.path.abspath('./data/DL_model_birds.h5')}\")" + ], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/edwinlopezariaz/UNI/MINERIA-DATOS/PRACTICA/mbd-datamining-p01/.venv/lib/python3.11/site-packages/keras/src/layers/convolutional/base_conv.py:99: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m163s\u001B[0m 417ms/step - accuracy: 0.2622 - loss: 2.3925\n", + "Epoch 2/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 422ms/step - accuracy: 0.5450 - loss: 1.4102\n", + "Epoch 3/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m171s\u001B[0m 442ms/step - accuracy: 0.6518 - loss: 1.0621\n", + "Epoch 4/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 422ms/step - accuracy: 0.7017 - loss: 0.8910\n", + "Epoch 5/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m160s\u001B[0m 412ms/step - accuracy: 0.7339 - loss: 0.7690\n", + "Epoch 6/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 422ms/step - accuracy: 0.7680 - loss: 0.6717\n", + "Epoch 7/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 423ms/step - accuracy: 0.7908 - loss: 0.6088\n", + "Epoch 8/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m163s\u001B[0m 419ms/step - accuracy: 0.8104 - loss: 0.5489\n", + "Epoch 9/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m163s\u001B[0m 419ms/step - accuracy: 0.8315 - loss: 0.4898\n", + "Epoch 10/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m163s\u001B[0m 420ms/step - accuracy: 0.8389 - loss: 0.4692\n", + "Epoch 11/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 424ms/step - accuracy: 0.8497 - loss: 0.4251\n", + "Epoch 12/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 424ms/step - accuracy: 0.8582 - loss: 0.3992\n", + "Epoch 13/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 422ms/step - accuracy: 0.8695 - loss: 0.3705\n", + "Epoch 14/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 422ms/step - accuracy: 0.8683 - loss: 0.3592\n", + "Epoch 15/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m163s\u001B[0m 419ms/step - accuracy: 0.8811 - loss: 0.3392\n", + "Epoch 16/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 423ms/step - accuracy: 0.8878 - loss: 0.3139\n", + "Epoch 17/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 423ms/step - accuracy: 0.8926 - loss: 0.2971\n", + "Epoch 18/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 418ms/step - accuracy: 0.8980 - loss: 0.2895\n", + "Epoch 19/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m167s\u001B[0m 430ms/step - accuracy: 0.9029 - loss: 0.2707\n", + "Epoch 20/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 423ms/step - accuracy: 0.9098 - loss: 0.2588\n", + "Epoch 21/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m164s\u001B[0m 422ms/step - accuracy: 0.9098 - loss: 0.2600\n", + "Epoch 22/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 418ms/step - accuracy: 0.9112 - loss: 0.2503\n", + "Epoch 23/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 418ms/step - accuracy: 0.9151 - loss: 0.2342\n", + "Epoch 24/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 417ms/step - accuracy: 0.9152 - loss: 0.2437\n", + "Epoch 25/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m161s\u001B[0m 415ms/step - accuracy: 0.9212 - loss: 0.2301\n", + "Epoch 26/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m163s\u001B[0m 421ms/step - accuracy: 0.9189 - loss: 0.2184\n", + "Epoch 27/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m160s\u001B[0m 412ms/step - accuracy: 0.9134 - loss: 0.2416\n", + "Epoch 28/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m160s\u001B[0m 413ms/step - accuracy: 0.9134 - loss: 0.2363\n", + "Epoch 29/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m161s\u001B[0m 415ms/step - accuracy: 0.9236 - loss: 0.2118\n", + "Epoch 30/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m173s\u001B[0m 447ms/step - accuracy: 0.9304 - loss: 0.1944\n", + "Epoch 31/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m165s\u001B[0m 424ms/step - accuracy: 0.9286 - loss: 0.1915\n", + "Epoch 32/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 416ms/step - accuracy: 0.9310 - loss: 0.1904\n", + "Epoch 33/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m165s\u001B[0m 426ms/step - accuracy: 0.9339 - loss: 0.1861\n", + "Epoch 34/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m175s\u001B[0m 452ms/step - accuracy: 0.9353 - loss: 0.1786\n", + "Epoch 35/35\n", + "\u001B[1m388/388\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 417ms/step - accuracy: 0.9313 - loss: 0.1955\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Modelo guardado exitosamente en /Users/edwinlopezariaz/UNI/MINERIA-DATOS/PRACTICA/mbd-datamining-p01/data/DL_model_birds.h5\n" + ] + } + ], + "execution_count": 30 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": " ## Testing part: X_test, y_test" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:06:31.568369Z", + "start_time": "2024-06-18T15:06:28.574403Z" + } + }, + "source": [ + "# H5 file to store the testing data\n", + "with ( h5py.File(os.path.abspath(\"./data/data_test.h5\"), \"w\") as hf_test, \n", + " h5py.File(os.path.abspath(\"./data/spectrograms.h5\")) as hf ):\n", + " # Group \"X\" to store the spectograms for testing\n", + " X_group = hf_test.create_group(\"X\")\n", + "\n", + " # Group \"X\" to store the labels for testing\n", + " y_group = hf_test.create_group(\"y\")\n", + "\n", + " for audio_name in test_audio_names:\n", + " # Get the name of the corresponding bird of the audio\n", + " bird_name = hf[audio_name].attrs[\"bird\"]\n", + "\n", + " # read the spectograms\n", + " spectrogram_names = list(hf[audio_name].keys())\n", + "\n", + " for spectrogram_name in spectrogram_names:\n", + " # Read the spectograms\n", + " spectrogram_data = hf[audio_name][spectrogram_name][...]\n", + " # Save the spectogram in group \"X\"\n", + " X_group.create_dataset(spectrogram_name, data=spectrogram_data)\n", + " # Save the name of the corresponding bird in group \"y\"\n", + " y_group.create_dataset(spectrogram_name, data=bird_name)" + ], + "outputs": [], + "execution_count": 31 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:06:35.981022Z", + "start_time": "2024-06-18T15:06:35.929115Z" + } + }, + "source": [ + "# LabelEncoder\n", + "le = LabelEncoder()\n", + "X_test = []\n", + "y_test = []" + ], + "outputs": [], + "execution_count": 32 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:06:41.014469Z", + "start_time": "2024-06-18T15:06:40.349828Z" + } + }, + "source": [ + "with h5py.File(os.path.abspath(\"./data/data_test.h5\")) as hf_test:\n", + " # Access to a specific group\n", + " group_Xtest = 'X'\n", + " group_ytest = 'y'\n", + " groupXtest = hf_test[group_Xtest]\n", + " groupytest = hf_test[group_ytest]\n", + "\n", + " # Save spectograms and labels\n", + " for key in groupXtest.keys():\n", + " spectogram = groupXtest[key]\n", + " X_test.append(spectogram[()])\n", + "\n", + " for key in groupytest.keys():\n", + " bird = groupytest[key]\n", + " y_test.append(bird[()])" + ], + "outputs": [], + "execution_count": 33 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:06:44.386990Z", + "start_time": "2024-06-18T15:06:44.383327Z" + } + }, + "source": [ + "y_test = le.fit_transform(y_test)\n", + "print(y_test)\n", + "\n", + "print(len(X_test))\n", + "print(X_test[0])\n", + "print(len(y_test))\n", + "print(y_test[0])" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[11 11 11 ... 19 19 19]\n", + "5005\n", + "[[-20.10495 -22.45483 -34.465416 ... -31.30346 -23.764065 -20.10495 ]\n", + " [-20.191296 -22.451729 -34.652542 ... -31.30468 -23.671677 -20.191296]\n", + " [-20.099775 -22.468739 -34.67266 ... -31.017902 -23.719769 -20.099775]\n", + " ...\n", + " [-36.612804 -38.671574 -49.253773 ... -39.029205 -36.009964 -36.612804]\n", + " [-36.426376 -38.79451 -50.17266 ... -43.316032 -35.622826 -36.426376]\n", + " [-36.450287 -38.73686 -51.529774 ... -44.752293 -36.199436 -36.450287]]\n", + "5005\n", + "11\n" + ] + } + ], + "execution_count": 34 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:06:51.431627Z", + "start_time": "2024-06-18T15:06:51.145036Z" + } + }, + "source": [ + "X_test = np.array(X_test)\n", + "y_test = np.array(y_test)\n", + "\n", + "X_test = X_test / 255.0\n", + "X_test = X_test.reshape((-1, 224, 224, 1))" + ], + "outputs": [], + "execution_count": 35 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:07:12.842169Z", + "start_time": "2024-06-18T15:06:55.475519Z" + } + }, + "source": [ + "# Evaluation of the model with the testing data\n", + "loss, accuracy = model.evaluate(X_test, y_test)\n", + "\n", + "print(\"Pérdida:\", loss)\n", + "print(\"Precisión:\", accuracy)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001B[1m157/157\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m17s\u001B[0m 109ms/step - accuracy: 0.7417 - loss: 1.8398\n", + "Pérdida: 1.3286551237106323\n", + "Precisión: 0.7746253609657288\n" + ] + } + ], + "execution_count": 36 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## Predictions of the models and confusion matrix" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:07:37.208513Z", + "start_time": "2024-06-18T15:07:20.080745Z" + } + }, + "source": [ + "# Prediction of the model with testing data\n", + "y_pred = model.predict(X_test)\n", + "y_pred = np.argmax(y_pred, axis=1)\n", + "\n", + "# F1-score\n", + "f1 = f1_score(y_test, y_pred, average='weighted')\n", + "print(\"F1 Score:\", f1)" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001B[1m157/157\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m17s\u001B[0m 108ms/step\n", + "F1 Score: 0.776846434692808\n" + ] + } + ], + "execution_count": 37 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-18T15:07:44.552721Z", + "start_time": "2024-06-18T15:07:44.062846Z" + } + }, + "cell_type": "code", + "source": [ + "from utils import CLASS_NAMES\n", + "\n", + "# Confusion matrix\n", + "cm = confusion_matrix(y_test, y_pred)\n", + "conf_matrix_df = pd.DataFrame(cm, index=CLASS_NAMES, columns=CLASS_NAMES)\n", + "\n", + "# Plot\n", + "plt.figure(figsize=(10,7))\n", + "sns.heatmap(conf_matrix_df, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False)\n", + "plt.xlabel('Predicted labels')\n", + "plt.ylabel('True labels')\n", + "plt.title(\"Confusion Matrix - Deep Learning Model\")\n", + "plt.show()" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 38 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "" + } + ], + "metadata": { + "kernelspec": { + "display_name": "birds", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/predictor-dl.ipynb b/predictor-dl.ipynb index 9ca876a..9323151 100644 --- a/predictor-dl.ipynb +++ b/predictor-dl.ipynb @@ -3,7 +3,7 @@ { "metadata": {}, "cell_type": "markdown", - "source": "# Análisis Espectral de Sonidos de Pájaros Europeos" + "source": "# Clasificación de vocalizaciones de aves" }, { "metadata": {}, @@ -65,7 +65,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": "## Counting number of spectograms for each bird name" + "source": "## Conteo de espectrogramas por ave" }, { "cell_type": "code", @@ -278,46 +278,38 @@ "source": [ "from keras.src.losses import SparseCategoricalCrossentropy\n", "\n", - "# CNN model\n", - "model = models.Sequential([\n", - " layers.Conv2D(32, (3, 3), activation='relu', input_shape=(224, 224, 1)),\n", - " layers.MaxPooling2D((2, 2)),\n", - " layers.Conv2D(64, (3, 3), activation='relu'),\n", - " layers.MaxPooling2D((2, 2)),\n", - " layers.Conv2D(128, (3, 3), activation='relu'),\n", - " layers.MaxPooling2D((2, 2)),\n", - " layers.Conv2D(256, (3, 3), activation='relu'),\n", - " layers.Dropout(0.5),\n", - " layers.Flatten(),\n", - " layers.Dense(64, activation='relu'),\n", - " layers.Dropout(0.5),\n", - " layers.Dense(20) \n", - "])\n", - "\n", - "# Compile the model\n", - "model.compile(optimizer='adam', loss=SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])\n", - "\n", - "# Train the model\n", - "model.fit(X_train, y_train, epochs=35)\n" - ], - "outputs": [], - "execution_count": null - }, - { - "cell_type": "code", - "metadata": {}, - "source": "model.save(os.path.abspath(\"./data/DL_model_birds.h5\"))", - "outputs": [], - "execution_count": null - }, - { - "cell_type": "code", - "metadata": {}, - "source": [ - "from tensorflow.keras.models import load_model \n", - "\n", - "# Load the model\n", - "loaded_model = load_model(os.path.abspath(\"./data/DL_model_birds.h5\"))" + "# Si el modelo no existe, entrenarlo y guardarlo,\n", + "if not os.path.exists(os.path.abspath(\"./data/DL_model_birds.h5\")):\n", + " # CNN model\n", + " model = models.Sequential([\n", + " layers.Conv2D(32, (3, 3), activation='relu', input_shape=(224, 224, 1)),\n", + " layers.MaxPooling2D((2, 2)),\n", + " layers.Conv2D(64, (3, 3), activation='relu'),\n", + " layers.MaxPooling2D((2, 2)),\n", + " layers.Conv2D(128, (3, 3), activation='relu'),\n", + " layers.MaxPooling2D((2, 2)),\n", + " layers.Conv2D(256, (3, 3), activation='relu'),\n", + " layers.Dropout(0.5),\n", + " layers.Flatten(),\n", + " layers.Dense(64, activation='relu'),\n", + " layers.Dropout(0.5),\n", + " layers.Dense(20) \n", + " ])\n", + " \n", + " # Compilar el modelo\n", + " model.compile(optimizer='adam', loss=SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])\n", + " \n", + " # Entrenar el modelo\n", + " model.fit(X_train, y_train, epochs=35)\n", + " \n", + " # Guardar el modelo\n", + " model.save(os.path.abspath(\"./data/DL_model_birds.h5\"))\n", + " print(f\"Modelo guardado exitosamente en {os.path.abspath('./data/DL_model_birds.h5')}\")\n", + "else:\n", + " from tensorflow.keras.models import load_model\n", + " # cargar el modelo\n", + " model = load_model(os.path.abspath(\"./data/DL_model_birds.h5\"))\n", + " print(f\"Cargamos el modelo desde el archivo {os.path.abspath('./data/DL_model_birds.h5')}\")" ], "outputs": [], "execution_count": null @@ -458,18 +450,10 @@ "metadata": {}, "cell_type": "code", "source": [ + "from utils import CLASS_NAMES\n", + "\n", "# Confusion matrix\n", "cm = confusion_matrix(y_test, y_pred)\n", - "\n", - "# Assuming 'class_names' is a list containing your class labels\n", - "# class_names = [\"Acrocephalus arundinaceus\", \"Acrocephalus melanopogon\", \"Acrocephalus scirpaceus\",\n", - "# \"Alcedo atthis\", \"Anas platyrhynchos\", \"Anas strepera\", \"Ardea purpurea\",\n", - "# \"Botaurus stellaris\", \"Charadrius alexandrinus\", \"Ciconia ciconia\",\n", - "# \"Circus aeruginosus\", \"Coracias garrulus\", \"Dendrocopos minor\",\n", - "# \"Fulica atra\", \"Gallinula chloropus\", \"Himantopus himantopus\",\n", - "# \"Ixobrychus minutus\", \"Motacilla flava\", \"Porphyrio porphyrio\", \"Tachybaptus ruficollis\"]\n", - "\n", - "from utils import CLASS_NAMES\n", "conf_matrix_df = pd.DataFrame(cm, index=CLASS_NAMES, columns=CLASS_NAMES)\n", "\n", "# Plot\n", @@ -482,13 +466,6 @@ ], "outputs": [], "execution_count": null - }, - { - "metadata": {}, - "cell_type": "code", - "source": "", - "outputs": [], - "execution_count": null } ], "metadata": { diff --git a/reading.ipynb b/reading.ipynb new file mode 100644 index 0000000..aa094d6 --- /dev/null +++ b/reading.ipynb @@ -0,0 +1,173 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import sys\n", + "import h5py\n", + "import os\n", + "sys.path.append(r'C:\\Users\\dandr\\Documents\\DataMining')\n", + "\n", + "from FinalProject.utils.files import get_subfiles" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot a spectogram in its original version .npy\n", + "project_dir: str = r'C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\spectrograms\\Acrocephalus arundinaceus\\test'\n", + "\n", + "for file, file_path in get_subfiles(project_dir):\n", + " if file.endswith(\".npy\"):\n", + " # Load npy file\n", + " spectrogram_data = np.load(file_path)\n", + "\n", + " # Display the spectrogram\n", + " plt.imshow(spectrogram_data, cmap='viridis', origin='lower', aspect='auto')\n", + " plt.colorbar(label='Intensity')\n", + " plt.xlabel('Time')\n", + " plt.ylabel('Frequency')\n", + " plt.title('Spectrogram')\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Conversion of .npy to .h5 and save them in a new folder 'spects_h5'\n", + "main_folder = r'C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\spectrograms'\n", + "output_folder = r'C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\spects_h5'\n", + "\n", + "def convert_npy_to_hdf5(input_folder, output_folder):\n", + " for item in os.listdir(input_folder):\n", + " item_path = os.path.join(input_folder, item)\n", + " output_path = os.path.join(output_folder, item)\n", + "\n", + " if os.path.isdir(item_path):\n", + " # If it's a subfolder, create a corresponding folder in the output directory\n", + " os.makedirs(output_path, exist_ok=True)\n", + " convert_npy_to_hdf5(item_path, output_path)\n", + " elif item.endswith('.npy'):\n", + " # If it's an .npy file, load and save it in the HDF5 file\n", + " data = np.load(item_path)\n", + " with h5py.File(os.path.join(output_folder, item.replace('.npy', '.h5')), 'w') as hf:\n", + " hf.create_dataset(item.replace('.npy', ''), data=data)\n", + "\n", + "# Create an HDF5 file in the output folder\n", + "convert_npy_to_hdf5(main_folder, output_folder)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Specify the path to your HDF5 file\n", + "hdf5_file_path = r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\spects_h5\\Acrocephalus melanopogon\\XC106948_1.h5\"\n", + "\n", + "# Open the HDF5 file in read-only mode\n", + "with h5py.File(hdf5_file_path, 'r') as hf:\n", + " print(hf)\n", + " # Access a specific dataset\n", + " dataset_name = 'XC106948_1'\n", + "\n", + " if dataset_name in hf:\n", + " dataset = hf[dataset_name]\n", + "\n", + " # Get the data as a NumPy array\n", + " data_as_numpy = np.array(dataset)\n", + " # print(data_as_numpy)\n", + "\n", + " # Visualize one spetogram to check how it looks after save them\n", + " plt.imshow(data_as_numpy, cmap='viridis', origin='lower', aspect='auto')\n", + " plt.colorbar(label='Intensity')\n", + " plt.xlabel('Time')\n", + " plt.ylabel('Frequency')\n", + " plt.title('Spectogram')\n", + " plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "birds", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/trim_audios.ipynb b/trim_audios.ipynb new file mode 100644 index 0000000..2d92cbb --- /dev/null +++ b/trim_audios.ipynb @@ -0,0 +1,11950 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import os\n", + "import librosa\n", + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.preprocessing import LabelEncoder\n", + "from sklearn.model_selection import cross_val_score\n", + "import soundfile as sf" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Acrocephalus arundinaceus\n", + "Start: 2.168366, end: 5.108297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417157_1.wav\n", + "Start: 19.289143, end: 20.885486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417157_2.wav\n", + "Start: 3.496018, end: 5.093184\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417158_1.wav\n", + "Start: 9.991159, end: 13.149998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417158_2.wav\n", + "Start: 18.651346, end: 21.277797\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417158_3.wav\n", + "Start: 41.739264, end: 43.709102\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417158_4.wav\n", + "Start: 48.518345, end: 52.17408\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417158_5.wav\n", + "Start: 56.841353, end: 59.840475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417158_6.wav\n", + "Start: 0.0, end: 3.779937\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_1.wav\n", + "Start: 6.232286, end: 10.749772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_2.wav\n", + "Start: 14.124057, end: 22.827132\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_3.wav\n", + "Start: 25.72201, end: 33.374078\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_4.wav\n", + "Start: 36.324273, end: 43.736637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_5.wav\n", + "Start: 46.225864, end: 56.34872\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_6.wav\n", + "Start: 58.432295, end: 62.249109\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_7.wav\n", + "Start: 65.10711, end: 75.303721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_8.wav\n", + "Start: 76.502238, end: 86.016616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_9.wav\n", + "Start: 88.745546, end: 95.457239\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_10.wav\n", + "Start: 97.393304, end: 109.267838\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_11.wav\n", + "Start: 111.425168, end: 116.514254\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_12.wav\n", + "Start: 118.819094, end: 124.90387\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417425_13.wav\n", + "Start: 0.0, end: 3.10368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_1.wav\n", + "Start: 6.15648, end: 10.60848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_2.wav\n", + "Start: 14.8824, end: 28.79808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_3.wav\n", + "Start: 34.92912, end: 41.23824\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_4.wav\n", + "Start: 47.3184, end: 51.88488\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_5.wav\n", + "Start: 58.80456, end: 63.12936\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_6.wav\n", + "Start: 69.78192, end: 74.45016\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_7.wav\n", + "Start: 80.31408, end: 84.0792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC417722_8.wav\n", + "Start: 13.020398, end: 18.6768\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC419606_1.wav\n", + "Start: 23.079189, end: 27.161403\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC419606_2.wav\n", + "Start: 31.803922, end: 34.925616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC419606_3.wav\n", + "Start: 37.753817, end: 43.516944\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC419606_4.wav\n", + "Start: 16.988362, end: 19.216942\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420352_1.wav\n", + "Start: 61.833983, end: 64.774978\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420352_2.wav\n", + "Start: 77.689787, end: 82.87763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420352_3.wav\n", + "Start: 86.896383, end: 96.504854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420352_4.wav\n", + "Start: 101.199487, end: 103.172329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420352_5.wav\n", + "Start: 106.807473, end: 112.433726\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420352_6.wav\n", + "Start: 1.33, end: 4.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_1.wav\n", + "Start: 13.18, end: 16.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_2.wav\n", + "Start: 22.37, end: 25.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_3.wav\n", + "Start: 31.88, end: 35.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_4.wav\n", + "Start: 44.84, end: 48.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_5.wav\n", + "Start: 52.82, end: 55.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_6.wav\n", + "Start: 64.95, end: 67.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_7.wav\n", + "Start: 72.34, end: 75.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_8.wav\n", + "Start: 79.83, end: 83.64\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_9.wav\n", + "Start: 88.39, end: 90.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_10.wav\n", + "Start: 94.28, end: 96.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_11.wav\n", + "Start: 101.14, end: 104.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_12.wav\n", + "Start: 110.5, end: 114.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_13.wav\n", + "Start: 118.64, end: 122.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_14.wav\n", + "Start: 128.22, end: 131.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_15.wav\n", + "Start: 137.48, end: 140.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_16.wav\n", + "Start: 204.01, end: 207.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_17.wav\n", + "Start: 212.46, end: 216.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_18.wav\n", + "Start: 222.06, end: 225.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_19.wav\n", + "Start: 230.86, end: 234.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_20.wav\n", + "Start: 239.79, end: 243.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_21.wav\n", + "Start: 254.97, end: 257.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_22.wav\n", + "Start: 263.66, end: 266.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_23.wav\n", + "Start: 272.47, end: 276.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_24.wav\n", + "Start: 281.23, end: 284.2\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_25.wav\n", + "Start: 289.01, end: 292.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_26.wav\n", + "Start: 299.04, end: 302.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_27.wav\n", + "Start: 309.36, end: 312.22\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_28.wav\n", + "Start: 319.97, end: 323.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC420542_29.wav\n", + "Start: 2.699901, end: 4.86\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_1.wav\n", + "Start: 17.41, end: 19.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_2.wav\n", + "Start: 23.404464, end: 25.71\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_3.wav\n", + "Start: 29.5, end: 31.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_4.wav\n", + "Start: 37.92, end: 41.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_5.wav\n", + "Start: 45.163427, end: 48.39\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_6.wav\n", + "Start: 53.63, end: 55.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_7.wav\n", + "Start: 66.2, end: 69.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_8.wav\n", + "Start: 75.97, end: 77.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_9.wav\n", + "Start: 81.348486, end: 86.364869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_10.wav\n", + "Start: 89.591969, end: 92.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_11.wav\n", + "Start: 96.940811, end: 99.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_12.wav\n", + "Start: 104.97, end: 108.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422018_13.wav\n", + "Start: 0.74, end: 2.559464\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_1.wav\n", + "Start: 6.87, end: 9.979761\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_2.wav\n", + "Start: 23.803155, end: 28.652963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_3.wav\n", + "Start: 39.84, end: 44.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_4.wav\n", + "Start: 48.436252, end: 54.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_5.wav\n", + "Start: 58.36824, end: 63.825761\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_6.wav\n", + "Start: 81.21475, end: 85.529951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_7.wav\n", + "Start: 91.49217, end: 95.695748\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_8.wav\n", + "Start: 100.328263, end: 104.574735\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_9.wav\n", + "Start: 109.936442, end: 113.410828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_10.wav\n", + "Start: 119.115684, end: 122.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_11.wav\n", + "Start: 126.08, end: 128.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_12.wav\n", + "Start: 134.128464, end: 139.232809\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_13.wav\n", + "Start: 161.194362, end: 164.540067\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_14.wav\n", + "Start: 170.202029, end: 172.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_15.wav\n", + "Start: 177.36527, end: 180.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_16.wav\n", + "Start: 225.148804, end: 228.237147\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_17.wav\n", + "Start: 250.927891, end: 253.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_18.wav\n", + "Start: 258.434281, end: 262.080242\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_19.wav\n", + "Start: 279.323492, end: 282.840772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_20.wav\n", + "Start: 288.760096, end: 290.947673\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422019_21.wav\n", + "Start: 1.209469, end: 8.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_1.wav\n", + "Start: 12.25, end: 18.16\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_2.wav\n", + "Start: 20.81, end: 26.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_3.wav\n", + "Start: 30.52, end: 40.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_4.wav\n", + "Start: 42.85, end: 48.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_5.wav\n", + "Start: 51.06, end: 56.53\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_6.wav\n", + "Start: 58.8, end: 66.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_7.wav\n", + "Start: 69.786384, end: 74.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_8.wav\n", + "Start: 77.623745, end: 82.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC422797_9.wav\n", + "Start: 42.092632, end: 46.12411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC428977_1.wav\n", + "Start: 51.858323, end: 58.043261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC428977_2.wav\n", + "Start: 66.55694, end: 76.147349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC428977_3.wav\n", + "Start: 76.623114, end: 80.153787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC428977_4.wav\n", + "Start: 1.909118, end: 7.23874\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_1.wav\n", + "Start: 11.52, end: 15.670678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_2.wav\n", + "Start: 18.07, end: 25.534455\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_3.wav\n", + "Start: 28.477679, end: 34.28458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_4.wav\n", + "Start: 36.04, end: 41.682413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_5.wav\n", + "Start: 44.42, end: 50.352991\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_6.wav\n", + "Start: 54.56896, end: 59.023569\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_7.wav\n", + "Start: 68.887346, end: 74.6147\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_8.wav\n", + "Start: 77.478378, end: 79.705682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_9.wav\n", + "Start: 82.36, end: 86.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_10.wav\n", + "Start: 90.55, end: 95.217267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_11.wav\n", + "Start: 100.38, end: 105.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_12.wav\n", + "Start: 115.740287, end: 122.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_13.wav\n", + "Start: 125.047238, end: 128.308648\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_14.wav\n", + "Start: 131.013232, end: 134.911015\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC449187_15.wav\n", + "Start: 1.03, end: 7.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_1.wav\n", + "Start: 12.845976, end: 19.53\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_2.wav\n", + "Start: 34.06, end: 38.52\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_3.wav\n", + "Start: 42.891285, end: 47.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_4.wav\n", + "Start: 50.741603, end: 55.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_5.wav\n", + "Start: 59.805153, end: 64.372611\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_6.wav\n", + "Start: 67.37, end: 70.296033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_7.wav\n", + "Start: 72.94, end: 76.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_8.wav\n", + "Start: 81.143745, end: 85.425737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_9.wav\n", + "Start: 88.56, end: 95.666834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_10.wav\n", + "Start: 100.15, end: 106.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_11.wav\n", + "Start: 110.26129, end: 114.008033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC467851_12.wav\n", + "Start: 0.458576, end: 8.505843\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473249_1.wav\n", + "Start: 10.354939, end: 22.810451\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473249_2.wav\n", + "Start: 0.548496, end: 2.946408\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_1.wav\n", + "Start: 6.174096, end: 11.834856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_2.wav\n", + "Start: 15.111768, end: 18.8106\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_3.wav\n", + "Start: 29.660976, end: 34.555248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_4.wav\n", + "Start: 39.576096, end: 43.092096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_5.wav\n", + "Start: 47.39568, end: 52.796256\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_6.wav\n", + "Start: 54.70896, end: 60.05328\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_7.wav\n", + "Start: 63.456768, end: 67.886928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_8.wav\n", + "Start: 71.23416, end: 74.5392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_9.wav\n", + "Start: 78.997488, end: 83.25888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_10.wav\n", + "Start: 86.367024, end: 89.601744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_11.wav\n", + "Start: 93.342768, end: 96.633744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC473571_12.wav\n", + "Start: 0.44, end: 2.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475474_1.wav\n", + "Start: 15.14, end: 17.52\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475474_2.wav\n", + "Start: 39.78, end: 41.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475474_3.wav\n", + "Start: 59.06, end: 61.4\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475474_4.wav\n", + "Start: 74.36, end: 75.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475474_5.wav\n", + "Start: 83.82, end: 85.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475474_6.wav\n", + "Start: 0.3, end: 4.903019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475479_1.wav\n", + "Start: 8.988869, end: 16.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475479_2.wav\n", + "Start: 21.008077, end: 27.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475479_3.wav\n", + "Start: 32.278212, end: 37.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475479_4.wav\n", + "Start: 41.335178, end: 49.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475479_5.wav\n", + "Start: 53.456532, end: 58.529795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475479_6.wav\n", + "Start: 1.051623, end: 2.558425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_1.wav\n", + "Start: 7.408446, end: 8.695506\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_2.wav\n", + "Start: 16.166736, end: 17.908976\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_3.wav\n", + "Start: 27.381428, end: 28.652793\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_4.wav\n", + "Start: 42.716283, end: 43.917016\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_5.wav\n", + "Start: 49.55183, end: 51.019393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_6.wav\n", + "Start: 55.720303, end: 57.344825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_7.wav\n", + "Start: 69.705315, end: 71.196421\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_8.wav\n", + "Start: 75.873788, end: 77.364894\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_9.wav\n", + "Start: 81.359491, end: 82.677943\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_10.wav\n", + "Start: 88.257821, end: 90.38461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_11.wav\n", + "Start: 98.075582, end: 99.527449\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_12.wav\n", + "Start: 106.198189, end: 107.995365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC475965_13.wav\n", + "Start: 0.363998, end: 5.896762\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_1.wav\n", + "Start: 7.80775, end: 12.612519\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_2.wav\n", + "Start: 15.6701, end: 20.766067\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_3.wav\n", + "Start: 24.93384, end: 30.575804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_4.wav\n", + "Start: 32.70519, end: 38.692952\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_5.wav\n", + "Start: 44.353116, end: 49.157885\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_6.wav\n", + "Start: 51.633069, end: 55.600644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_7.wav\n", + "Start: 58.439826, end: 62.043402\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_8.wav\n", + "Start: 68.986658, end: 72.781334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_9.wav\n", + "Start: 78.304998, end: 79.469791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_10.wav\n", + "Start: 85.084455, end: 88.724431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_11.wav\n", + "Start: 93.319902, end: 96.69598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_12.wav\n", + "Start: 103.156939, end: 105.532024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_13.wav\n", + "Start: 112.566279, end: 115.105162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_14.wav\n", + "Start: 119.636933, end: 124.8785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC476146_15.wav\n", + "Start: 25.193591, end: 31.874138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477688_1.wav\n", + "Start: 37.913051, end: 39.988928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477688_2.wav\n", + "Start: 45.122004, end: 48.688737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477688_3.wav\n", + "Start: 53.331151, end: 57.143215\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477688_4.wav\n", + "Start: 62.61598, end: 66.390301\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477688_5.wav\n", + "Start: 125.515035, end: 129.251612\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477688_6.wav\n", + "Start: 3.182184, end: 8.86178\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_1.wav\n", + "Start: 16.072046, end: 19.616758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_2.wav\n", + "Start: 24.16849, end: 29.807804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_3.wav\n", + "Start: 37.420878, end: 41.227416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_4.wav\n", + "Start: 47.128555, end: 50.240248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_5.wav\n", + "Start: 58.930834, end: 63.704111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_6.wav\n", + "Start: 70.592131, end: 75.264705\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_7.wav\n", + "Start: 77.379448, end: 81.246407\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_8.wav\n", + "Start: 85.536313, end: 89.503974\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_9.wav\n", + "Start: 94.377953, end: 101.346534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_10.wav\n", + "Start: 106.58304, end: 111.738984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_11.wav\n", + "Start: 114.175974, end: 118.324898\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_12.wav\n", + "Start: 120.862589, end: 125.233058\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_13.wav\n", + "Start: 126.944993, end: 131.75855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_14.wav\n", + "Start: 135.967896, end: 141.506508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_15.wav\n", + "Start: 149.844637, end: 156.148584\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_16.wav\n", + "Start: 161.022563, end: 163.056744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_17.wav\n", + "Start: 166.319491, end: 170.931644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_18.wav\n", + "Start: 176.752222, end: 181.162971\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_19.wav\n", + "Start: 184.888947, end: 190.367138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_20.wav\n", + "Start: 195.684206, end: 199.571304\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_21.wav\n", + "Start: 202.471523, end: 211.071478\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_22.wav\n", + "Start: 216.569809, end: 223.377267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_23.wav\n", + "Start: 227.848438, end: 233.568313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_24.wav\n", + "Start: 237.898501, end: 243.155148\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_25.wav\n", + "Start: 248.935445, end: 254.957427\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_26.wav\n", + "Start: 262.00657, end: 265.390158\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_27.wav\n", + "Start: 275.420082, end: 279.971814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC477945_28.wav\n", + "Start: 1.566418, end: 5.045674\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_1.wav\n", + "Start: 10.836903, end: 13.246778\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_2.wav\n", + "Start: 18.751834, end: 23.398373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_3.wav\n", + "Start: 50.471805, end: 53.559456\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_4.wav\n", + "Start: 61.715374, end: 65.955247\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_5.wav\n", + "Start: 71.25697, end: 75.82067\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_6.wav\n", + "Start: 81.777578, end: 85.04597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_7.wav\n", + "Start: 92.350901, end: 95.50633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_8.wav\n", + "Start: 100.303486, end: 104.016199\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478415_9.wav\n", + "Start: 0.126673, end: 14.111356\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_1.wav\n", + "Start: 17.379516, end: 23.966505\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_2.wav\n", + "Start: 27.513345, end: 30.300147\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_3.wav\n", + "Start: 33.365631, end: 37.039143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_4.wav\n", + "Start: 39.800612, end: 44.715519\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_5.wav\n", + "Start: 47.27431, end: 52.771912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_6.wav\n", + "Start: 57.433473, end: 60.777637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_7.wav\n", + "Start: 63.336429, end: 68.682023\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_8.wav\n", + "Start: 71.874179, end: 78.03048\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_9.wav\n", + "Start: 83.046725, end: 89.329699\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_10.wav\n", + "Start: 93.408565, end: 100.122226\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_11.wav\n", + "Start: 104.758453, end: 110.864085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_12.wav\n", + "Start: 114.10691, end: 119.98453\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_13.wav\n", + "Start: 122.720664, end: 127.96492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_14.wav\n", + "Start: 131.562429, end: 135.742634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_15.wav\n", + "Start: 139.922838, end: 143.64702\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_16.wav\n", + "Start: 148.663265, end: 151.272726\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_17.wav\n", + "Start: 156.06096, end: 160.899863\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_18.wav\n", + "Start: 166.194789, end: 171.350374\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_19.wav\n", + "Start: 175.809258, end: 178.558059\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_20.wav\n", + "Start: 181.370197, end: 184.8537\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_21.wav\n", + "Start: 189.793942, end: 194.012148\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_22.wav\n", + "Start: 198.711711, end: 203.487278\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_23.wav\n", + "Start: 208.579527, end: 214.72316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_24.wav\n", + "Start: 219.524061, end: 224.033615\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_25.wav\n", + "Start: 228.796515, end: 233.192063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_26.wav\n", + "Start: 238.486988, end: 243.870585\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_27.wav\n", + "Start: 249.140175, end: 254.06775\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_28.wav\n", + "Start: 259.413344, end: 264.112907\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_29.wav\n", + "Start: 267.78642, end: 270.788567\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_30.wav\n", + "Start: 281.923111, end: 284.203222\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_31.wav\n", + "Start: 288.446763, end: 291.246233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_32.wav\n", + "Start: 292.994319, end: 296.034467\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_33.wav\n", + "Start: 300.113333, end: 305.44626\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_34.wav\n", + "Start: 310.81719, end: 312.501939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_35.wav\n", + "Start: 317.264838, end: 320.52033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_36.wav\n", + "Start: 336.797793, end: 338.786556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_37.wav\n", + "Start: 340.281296, end: 346.006909\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_38.wav\n", + "Start: 351.187829, end: 353.391937\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_39.wav\n", + "Start: 358.180171, end: 360.346277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_40.wav\n", + "Start: 364.703823, end: 370.543442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_41.wav\n", + "Start: 376.079046, end: 380.39859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_42.wav\n", + "Start: 384.591462, end: 387.555606\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_43.wav\n", + "Start: 391.64714, end: 396.106024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_44.wav\n", + "Start: 406.417195, end: 410.293384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_45.wav\n", + "Start: 415.3983, end: 420.921237\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_46.wav\n", + "Start: 429.040967, end: 431.485753\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_47.wav\n", + "Start: 436.463997, end: 440.264182\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_48.wav\n", + "Start: 445.280427, end: 449.827983\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_49.wav\n", + "Start: 454.806226, end: 460.316496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_50.wav\n", + "Start: 468.512229, end: 471.349701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_51.wav\n", + "Start: 493.808799, end: 497.710323\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_52.wav\n", + "Start: 503.068585, end: 506.222739\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_53.wav\n", + "Start: 513.215081, end: 519.713398\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_54.wav\n", + "Start: 527.947134, end: 531.405303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_55.wav\n", + "Start: 539.930386, end: 542.628518\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_56.wav\n", + "Start: 562.275478, end: 563.605543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_57.wav\n", + "Start: 567.671742, end: 573.600032\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_58.wav\n", + "Start: 580.871054, end: 585.317271\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_59.wav\n", + "Start: 592.081602, end: 594.881072\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_60.wav\n", + "Start: 600.061992, end: 603.051471\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_61.wav\n", + "Start: 606.218292, end: 609.017763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_62.wav\n", + "Start: 614.756043, end: 619.442939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_63.wav\n", + "Start: 627.816015, end: 631.261516\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_64.wav\n", + "Start: 637.151804, end: 641.547352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_65.wav\n", + "Start: 647.969666, end: 650.895809\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_66.wav\n", + "Start: 655.405363, end: 659.370223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_67.wav\n", + "Start: 675.381672, end: 679.865892\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_68.wav\n", + "Start: 686.338875, end: 690.341737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_69.wav\n", + "Start: 693.673233, end: 698.25879\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_70.wav\n", + "Start: 704.275751, end: 707.708586\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC478850_71.wav\n", + "Start: 0.896242, end: 4.644948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_1.wav\n", + "Start: 11.315059, end: 13.469487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_2.wav\n", + "Start: 17.674932, end: 22.225085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_3.wav\n", + "Start: 25.344698, end: 28.033425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_4.wav\n", + "Start: 30.885888, end: 34.091678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_5.wav\n", + "Start: 37.642176, end: 43.743518\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_6.wav\n", + "Start: 47.518077, end: 52.137171\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_7.wav\n", + "Start: 54.153717, end: 58.92793\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_8.wav\n", + "Start: 62.150955, end: 67.235407\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_9.wav\n", + "Start: 71.37191, end: 74.818995\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_10.wav\n", + "Start: 77.680077, end: 81.695931\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_11.wav\n", + "Start: 84.557013, end: 88.331571\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_12.wav\n", + "Start: 90.468765, end: 92.019953\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_13.wav\n", + "Start: 95.053389, end: 100.878963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_14.wav\n", + "Start: 103.843457, end: 109.014086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_15.wav\n", + "Start: 112.461171, end: 119.493226\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479839_16.wav\n", + "Start: 1.426017, end: 5.741595\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_1.wav\n", + "Start: 11.48319, end: 13.584689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_2.wav\n", + "Start: 16.774463, end: 22.272134\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_3.wav\n", + "Start: 29.026952, end: 33.117369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_4.wav\n", + "Start: 60.267983, end: 63.701682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_5.wav\n", + "Start: 67.623228, end: 71.150744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_6.wav\n", + "Start: 85.298334, end: 88.262949\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_7.wav\n", + "Start: 92.897504, end: 96.48131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_8.wav\n", + "Start: 104.868542, end: 108.227187\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_9.wav\n", + "Start: 112.805452, end: 118.040436\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_10.wav\n", + "Start: 123.275419, end: 127.234493\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC479978_11.wav\n", + "Start: 0.0, end: 3.525157\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_1.wav\n", + "Start: 5.572023, end: 12.252765\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_2.wav\n", + "Start: 16.68764, end: 24.960388\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_3.wav\n", + "Start: 28.542403, end: 33.545852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_4.wav\n", + "Start: 36.644579, end: 39.743306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_5.wav\n", + "Start: 42.984176, end: 48.243484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_6.wav\n", + "Start: 66.665273, end: 71.270721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_7.wav\n", + "Start: 75.080165, end: 80.936475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_8.wav\n", + "Start: 85.229207, end: 96.00368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC480061_9.wav\n", + "Start: 0.0, end: 1.021127\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_1.wav\n", + "Start: 2.654929, end: 10.152915\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_2.wav\n", + "Start: 11.874243, end: 18.321927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_3.wav\n", + "Start: 20.218305, end: 29.700195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_4.wav\n", + "Start: 32.442649, end: 42.041238\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_5.wav\n", + "Start: 43.879266, end: 54.090531\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_6.wav\n", + "Start: 56.074434, end: 62.113668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_7.wav\n", + "Start: 64.593547, end: 70.370205\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_8.wav\n", + "Start: 73.550285, end: 79.035193\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_9.wav\n", + "Start: 82.507024, end: 86.066379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_10.wav\n", + "Start: 88.517083, end: 100.478851\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC483906_11.wav\n", + "Start: 4.311245, end: 7.588329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_1.wav\n", + "Start: 13.470963, end: 15.82133\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_2.wav\n", + "Start: 20.622795, end: 23.429805\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_3.wav\n", + "Start: 31.300178, end: 34.933174\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_4.wav\n", + "Start: 41.990991, end: 44.113037\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_5.wav\n", + "Start: 49.626328, end: 52.668375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_6.wav\n", + "Start: 66.146052, end: 68.973209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_7.wav\n", + "Start: 75.614675, end: 77.045042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_8.wav\n", + "Start: 81.080958, end: 83.699939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_9.wav\n", + "Start: 89.878047, end: 91.603889\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_10.wav\n", + "Start: 94.558636, end: 98.205063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_11.wav\n", + "Start: 103.194557, end: 107.196897\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_12.wav\n", + "Start: 114.456174, end: 117.001287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_13.wav\n", + "Start: 123.004796, end: 126.161004\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_14.wav\n", + "Start: 132.124222, end: 135.340867\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_15.wav\n", + "Start: 139.30963, end: 142.902335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_16.wav\n", + "Start: 147.294164, end: 151.289788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_17.wav\n", + "Start: 157.649211, end: 161.698558\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_18.wav\n", + "Start: 167.030534, end: 169.327179\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_19.wav\n", + "Start: 174.088352, end: 176.46558\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_20.wav\n", + "Start: 182.119893, end: 184.215077\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC488409_21.wav\n", + "Start: 1.832292, end: 5.887649\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511182_1.wav\n", + "Start: 9.908271, end: 17.75847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511182_2.wav\n", + "Start: 20.207315, end: 28.700119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511182_3.wav\n", + "Start: 33.233088, end: 38.764699\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511182_4.wav\n", + "Start: 43.115307, end: 49.897393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511182_5.wav\n", + "Start: 54.525884, end: 59.215162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511182_6.wav\n", + "Start: 2.796033, end: 5.241844\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511183_1.wav\n", + "Start: 27.39768, end: 29.36696\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511183_2.wav\n", + "Start: 39.615254, end: 41.199864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511183_3.wav\n", + "Start: 46.745999, end: 49.094208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511183_4.wav\n", + "Start: 62.069639, end: 63.705921\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511183_5.wav\n", + "Start: 71.45099, end: 73.104496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC511183_6.wav\n", + "Start: 0.80339, end: 7.230513\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_1.wav\n", + "Start: 11.179091, end: 14.60632\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_2.wav\n", + "Start: 18.828392, end: 21.588978\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_3.wav\n", + "Start: 25.68285, end: 29.383574\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_4.wav\n", + "Start: 31.879212, end: 39.314845\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_5.wav\n", + "Start: 42.451486, end: 52.468225\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_6.wav\n", + "Start: 55.972375, end: 60.869637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_7.wav\n", + "Start: 64.54472, end: 79.279241\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_8.wav\n", + "Start: 82.868857, end: 85.261934\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_9.wav\n", + "Start: 88.714803, end: 93.330024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_10.wav\n", + "Start: 97.449537, end: 101.705796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_11.wav\n", + "Start: 106.509044, end: 108.175652\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_12.wav\n", + "Start: 112.628486, end: 117.901803\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_13.wav\n", + "Start: 120.337614, end: 124.722074\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_14.wav\n", + "Start: 128.858679, end: 135.721684\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_15.wav\n", + "Start: 140.097597, end: 143.610293\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_16.wav\n", + "Start: 148.08022, end: 153.447551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_17.wav\n", + "Start: 157.413223, end: 161.190866\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_18.wav\n", + "Start: 165.56678, end: 171.395633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_19.wav\n", + "Start: 175.959574, end: 177.241579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_20.wav\n", + "Start: 179.933792, end: 185.224202\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_21.wav\n", + "Start: 188.959113, end: 194.326444\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_22.wav\n", + "Start: 199.659588, end: 202.069759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_23.wav\n", + "Start: 205.736296, end: 209.060964\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_24.wav\n", + "Start: 213.436877, end: 216.368397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_25.wav\n", + "Start: 220.034934, end: 224.504861\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_26.wav\n", + "Start: 229.38503, end: 232.581498\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC519927_27.wav\n", + "Start: 2.57954, end: 11.618952\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_1.wav\n", + "Start: 14.837864, end: 19.644186\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_2.wav\n", + "Start: 42.584451, end: 49.209678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_3.wav\n", + "Start: 62.096353, end: 71.290096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_4.wav\n", + "Start: 73.704281, end: 78.598792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_5.wav\n", + "Start: 81.046047, end: 84.05551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_6.wav\n", + "Start: 86.646073, end: 93.822485\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_7.wav\n", + "Start: 96.457143, end: 104.504424\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_8.wav\n", + "Start: 107.844598, end: 111.956428\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_9.wav\n", + "Start: 115.395814, end: 119.232052\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_10.wav\n", + "Start: 122.450965, end: 126.551771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_11.wav\n", + "Start: 129.671471, end: 134.455745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_12.wav\n", + "Start: 137.465208, end: 144.564454\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_13.wav\n", + "Start: 148.621166, end: 155.89679\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_14.wav\n", + "Start: 159.699958, end: 164.859037\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_15.wav\n", + "Start: 172.167732, end: 174.780343\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_16.wav\n", + "Start: 177.569332, end: 184.85598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_17.wav\n", + "Start: 187.049691, end: 192.120581\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_18.wav\n", + "Start: 195.879654, end: 201.501727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_19.wav\n", + "Start: 251.990152, end: 256.807497\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_20.wav\n", + "Start: 259.783889, end: 264.182335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_21.wav\n", + "Start: 277.675311, end: 285.105267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_22.wav\n", + "Start: 299.402971, end: 303.856536\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus arundinaceus\\XC522864_23.wav\n", + "Acrocephalus melanopogon\n", + "Start: 3.190437, end: 21.619395\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC106948_1.wav\n", + "Start: 27.958299, end: 34.213237\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC106948_2.wav\n", + "Start: 34.213237, end: 40.804008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC106948_3.wav\n", + "Start: 42.860997, end: 47.856538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC106948_4.wav\n", + "Start: 50.207397, end: 65.110084\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC106948_5.wav\n", + "Start: 65.571867, end: 72.246597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC106948_6.wav\n", + "Start: 3.674906, end: 8.452298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC134457_1.wav\n", + "Start: 15.749598, end: 19.424518\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC134457_2.wav\n", + "Start: 20.421978, end: 47.038804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC134457_3.wav\n", + "Start: 52.341163, end: 57.38105\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC134457_4.wav\n", + "Start: 63.41838, end: 67.77575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC134457_5.wav\n", + "Start: 75.283077, end: 87.357771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC134457_6.wav\n", + "Start: 2.342288, end: 4.982674\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC141019_1.wav\n", + "Start: 6.089949, end: 17.631037\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC141019_2.wav\n", + "Start: 17.971737, end: 33.814118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC141019_3.wav\n", + "Start: 37.753425, end: 48.61313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC141019_4.wav\n", + "Start: 59.557997, end: 70.375094\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC141019_5.wav\n", + "Start: 0.64821, end: 5.704242\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC145159_1.wav\n", + "Start: 14.130976, end: 19.230228\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC145159_2.wav\n", + "Start: 8.599585, end: 12.748111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC145159_3.wav\n", + "Start: 20.051293, end: 23.249139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC145159_4.wav\n", + "Start: 28.694092, end: 38.590101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC145159_5.wav\n", + "Start: 46.066118, end: 63.697433\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC145159_6.wav\n", + "Start: 4.288933, end: 8.978162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC163297_1.wav\n", + "Start: 11.837455, end: 15.154235\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC163297_2.wav\n", + "Start: 18.471005, end: 23.217422\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC163297_3.wav\n", + "Start: 33.396491, end: 40.31597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC163297_4.wav\n", + "Start: 57.014215, end: 64.905848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC163297_5.wav\n", + "Start: 15.225283, end: 27.23941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC172478_1.wav\n", + "Start: 0.625371, end: 4.734963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC172480_1.wav\n", + "Start: 0.0, end: 16.651791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_1.wav\n", + "Start: 16.651791, end: 22.777573\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_2.wav\n", + "Start: 23.208975, end: 33.174167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_3.wav\n", + "Start: 41.543202, end: 45.123769\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_4.wav\n", + "Start: 45.123769, end: 62.034404\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_5.wav\n", + "Start: 62.638349, end: 69.713201\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_6.wav\n", + "Start: 71.611335, end: 75.666437\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC213784_7.wav\n", + "Start: 0.450926, end: 23.989259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_1.wav\n", + "Start: 24.981285, end: 37.607201\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_2.wav\n", + "Start: 40.042203, end: 56.681362\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_3.wav\n", + "Start: 62.227749, end: 68.630894\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_4.wav\n", + "Start: 69.126912, end: 88.201058\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_5.wav\n", + "Start: 88.56181, end: 91.673185\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_6.wav\n", + "Start: 92.529957, end: 114.084207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_7.wav\n", + "Start: 116.564297, end: 118.90911\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_8.wav\n", + "Start: 121.52448, end: 144.837334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_9.wav\n", + "Start: 151.646318, end: 156.290859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC253273_10.wav\n", + "Start: 1.907416, end: 9.836938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC310528_1.wav\n", + "Start: 2.315942, end: 7.986758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC310529_1.wav\n", + "Start: 9.198834, end: 10.757224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC310529_2.wav\n", + "Start: 15.908571, end: 17.769977\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC310529_3.wav\n", + "Start: 20.345656, end: 23.289284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC310529_4.wav\n", + "Start: 1.875703, end: 10.84814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC329900_1.wav\n", + "Start: 11.292891, end: 28.792996\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC329900_2.wav\n", + "Start: 29.025051, end: 33.588635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC329900_3.wav\n", + "Start: 0.645888, end: 7.928832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC329910_1.wav\n", + "Start: 0.617733, end: 14.008587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC347269_1.wav\n", + "Start: 15.821925, end: 24.071654\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC347269_2.wav\n", + "Start: 24.071654, end: 26.482799\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC347269_3.wav\n", + "Start: 26.921184, end: 34.792288\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC347269_4.wav\n", + "Start: 21.744744, end: 24.147692\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356695_1.wav\n", + "Start: 24.600712, end: 27.791528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356695_2.wav\n", + "Start: 2.713436, end: 6.663368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356696_1.wav\n", + "Start: 8.964642, end: 13.498475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356696_2.wav\n", + "Start: 15.147154, end: 25.142211\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356696_3.wav\n", + "Start: 30.259961, end: 38.572002\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356696_4.wav\n", + "Start: 47.5023, end: 58.493434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC356696_5.wav\n", + "Start: 0.0, end: 20.214898\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_1.wav\n", + "Start: 24.884099, end: 33.233714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_2.wav\n", + "Start: 38.50718, end: 44.98913\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_3.wav\n", + "Start: 50.97669, end: 64.380046\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_4.wav\n", + "Start: 69.268973, end: 71.356365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_5.wav\n", + "Start: 107.116968, end: 110.852342\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_6.wav\n", + "Start: 111.346715, end: 116.015921\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_7.wav\n", + "Start: 138.37315, end: 141.943717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_8.wav\n", + "Start: 144.635373, end: 148.370724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_9.wav\n", + "Start: 158.258454, end: 162.37834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357198_10.wav\n", + "Start: 2.562322, end: 12.61451\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357368_1.wav\n", + "Start: 13.895671, end: 21.927567\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357368_2.wav\n", + "Start: 65.388494, end: 76.37691\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357368_3.wav\n", + "Start: 2.700046, end: 8.169366\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357387_1.wav\n", + "Start: 9.415546, end: 15.057949\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357387_2.wav\n", + "Start: 21.461906, end: 24.335035\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357387_3.wav\n", + "Start: 29.181268, end: 33.335191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357387_4.wav\n", + "Start: 37.523719, end: 45.900794\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357387_5.wav\n", + "Start: 49.085455, end: 60.266407\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357387_6.wav\n", + "Start: 2.037723, end: 9.940098\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_1.wav\n", + "Start: 24.35328, end: 27.285613\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_2.wav\n", + "Start: 31.211959, end: 33.001188\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_3.wav\n", + "Start: 37.026926, end: 38.020947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_4.wav\n", + "Start: 41.152073, end: 45.823906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_5.wav\n", + "Start: 46.022729, end: 50.197583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_6.wav\n", + "Start: 50.893385, end: 54.173635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_7.wav\n", + "Start: 70.226907, end: 73.904741\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_8.wav\n", + "Start: 74.401755, end: 84.143068\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357630_9.wav\n", + "Start: 0.559543, end: 1.053262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357888_1.wav\n", + "Start: 2.563657, end: 2.914746\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357888_2.wav\n", + "Start: 3.331657, end: 3.975308\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357888_3.wav\n", + "Start: 5.394286, end: 6.282971\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC357888_4.wav\n", + "Start: 1.328483, end: 33.109889\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_1.wav\n", + "Start: 38.321633, end: 45.475011\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_2.wav\n", + "Start: 62.234331, end: 72.402336\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_3.wav\n", + "Start: 75.825737, end: 93.555873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_4.wav\n", + "Start: 99.891722, end: 109.344398\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_5.wav\n", + "Start: 118.745966, end: 138.571022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_6.wav\n", + "Start: 152.826671, end: 175.513088\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358560_7.wav\n", + "Start: 1.324095, end: 17.236861\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358628_1.wav\n", + "Start: 17.236861, end: 26.269083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358628_2.wav\n", + "Start: 34.00086, end: 35.892425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358628_3.wav\n", + "Start: 37.405675, end: 41.377965\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358628_4.wav\n", + "Start: 1.134446, end: 7.91796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358629_1.wav\n", + "Start: 8.496767, end: 9.584907\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358629_2.wav\n", + "Start: 12.432599, end: 34.936295\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC358629_3.wav\n", + "Start: 1.293285, end: 10.55104\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360704_1.wav\n", + "Start: 10.63727, end: 17.567111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360704_2.wav\n", + "Start: 0.921555, end: 10.56244\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_1.wav\n", + "Start: 10.56244, end: 17.615864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_2.wav\n", + "Start: 20.309659, end: 24.846553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_3.wav\n", + "Start: 31.829099, end: 39.555993\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_4.wav\n", + "Start: 61.070755, end: 66.387422\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_5.wav\n", + "Start: 79.679082, end: 80.70695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_6.wav\n", + "Start: 80.990526, end: 82.337419\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_7.wav\n", + "Start: 84.251414, end: 97.153205\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_8.wav\n", + "Start: 106.439628, end: 115.158947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC360705_9.wav\n", + "Start: 0.0, end: 12.146939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_1.wav\n", + "Start: 12.522915, end: 25.248267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_2.wav\n", + "Start: 29.09481, end: 38.320706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_3.wav\n", + "Start: 40.923622, end: 47.575504\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_4.wav\n", + "Start: 49.918134, end: 62.036139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_5.wav\n", + "Start: 64.610146, end: 97.117674\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_6.wav\n", + "Start: 109.843032, end: 134.079064\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_7.wav\n", + "Start: 140.817726, end: 166.470901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_8.wav\n", + "Start: 167.049329, end: 177.056109\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_9.wav\n", + "Start: 180.439883, end: 201.754872\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC406576_10.wav\n", + "Start: 0.631954, end: 2.211841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC408868_1.wav\n", + "Start: 2.352274, end: 21.416243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC408868_2.wav\n", + "Start: 27.384686, end: 33.528677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC408868_3.wav\n", + "Start: 41.112137, end: 43.00801\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC408868_4.wav\n", + "Start: 46.589074, end: 50.451024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC408868_5.wav\n", + "Start: 57.894034, end: 60.246302\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC408868_6.wav\n", + "Start: 0.0, end: 3.989365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC418401_1.wav\n", + "Start: 8.658726, end: 20.264146\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC418401_2.wav\n", + "Start: 22.258819, end: 32.549545\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC418401_3.wav\n", + "Start: 36.810919, end: 44.426951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC418401_4.wav\n", + "Start: 53.085697, end: 58.75241\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC418401_5.wav\n", + "Start: 62.152426, end: 73.259161\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC418401_6.wav\n", + "Start: 1.649207, end: 8.620863\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC422660_1.wav\n", + "Start: 20.090343, end: 31.185014\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC422660_2.wav\n", + "Start: 79.986551, end: 93.779907\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC422660_3.wav\n", + "Start: 102.400776, end: 123.765515\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC422660_4.wav\n", + "Start: 2.923012, end: 11.767003\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_1.wav\n", + "Start: 13.340929, end: 22.03501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_2.wav\n", + "Start: 28.555583, end: 35.001207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_3.wav\n", + "Start: 46.693251, end: 57.485926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_4.wav\n", + "Start: 64.081427, end: 71.276529\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_5.wav\n", + "Start: 82.893636, end: 89.264316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_6.wav\n", + "Start: 103.054927, end: 108.975902\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_7.wav\n", + "Start: 116.245958, end: 124.340448\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC429780_8.wav\n", + "Start: 1.373817, end: 13.025177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC442556_1.wav\n", + "Start: 16.155391, end: 18.294371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC442556_2.wav\n", + "Start: 21.80717, end: 26.050344\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC442556_3.wav\n", + "Start: 1.207977, end: 17.190426\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC443794_1.wav\n", + "Start: 19.389574, end: 25.274586\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC443794_2.wav\n", + "Start: 33.606531, end: 49.000499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC443794_3.wav\n", + "Start: 1.085022, end: 13.8728\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC456255_1.wav\n", + "Start: 14.04716, end: 16.159065\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC456255_2.wav\n", + "Start: 19.840403, end: 22.242943\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC456255_3.wav\n", + "Start: 22.436706, end: 29.89623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC456255_4.wav\n", + "Start: 7.978572, end: 20.956599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC460172_1.wav\n", + "Start: 22.531762, end: 26.298474\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC460172_2.wav\n", + "Start: 27.736667, end: 48.556282\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC460172_3.wav\n", + "Start: 53.58998, end: 55.678801\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC460172_4.wav\n", + "Start: 0.198531, end: 13.126853\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC460174_1.wav\n", + "Start: 2.460108, end: 14.602647\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466744_1.wav\n", + "Start: 4.281007, end: 8.653115\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466746_1.wav\n", + "Start: 34.02034, end: 39.940884\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466746_2.wav\n", + "Start: 63.440875, end: 76.602689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466746_3.wav\n", + "Start: 2.027012, end: 6.576015\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466747_1.wav\n", + "Start: 7.023834, end: 8.862292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466747_2.wav\n", + "Start: 29.203122, end: 39.149607\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466747_3.wav\n", + "Start: 5.457726, end: 28.615277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC466748_1.wav\n", + "Start: 6.797808, end: 29.185268\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467402_1.wav\n", + "Start: 34.124994, end: 36.390935\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467402_2.wav\n", + "Start: 45.862542, end: 53.340138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467402_3.wav\n", + "Start: 66.935745, end: 72.872503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467402_4.wav\n", + "Start: 0.254448, end: 10.135491\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467403_1.wav\n", + "Start: 17.302435, end: 22.052141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467403_2.wav\n", + "Start: 27.734786, end: 30.448891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467403_3.wav\n", + "Start: 34.689687, end: 48.472272\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467403_4.wav\n", + "Start: 56.869034, end: 62.382073\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC467403_5.wav\n", + "Start: 0.0, end: 16.861814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC480053_1.wav\n", + "Start: 17.716782, end: 59.895082\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC480053_2.wav\n", + "Start: 60.702541, end: 82.076668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC480053_3.wav\n", + "Start: 0.244745, end: 5.323203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC516174_1.wav\n", + "Start: 9.177936, end: 13.766893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC516174_2.wav\n", + "Start: 17.805196, end: 29.18583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC516174_3.wav\n", + "Start: 37.568351, end: 44.727149\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC516174_4.wav\n", + "Start: 47.358149, end: 62.165224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC516174_5.wav\n", + "Start: 0.0, end: 6.033188\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC522340_1.wav\n", + "Start: 7.290103, end: 10.482665\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC522340_2.wav\n", + "Start: 23.303191, end: 26.596316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC522340_3.wav\n", + "Start: 30.015113, end: 35.721509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC522340_4.wav\n", + "Start: 40.874853, end: 43.564644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC522340_5.wav\n", + "Start: 1.635415, end: 31.444553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC529774_1.wav\n", + "Start: 19.277636, end: 54.091695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542351_1.wav\n", + "Start: 58.040753, end: 89.477329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542351_2.wav\n", + "Start: 0.697469, end: 19.030961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_1.wav\n", + "Start: 21.02372, end: 24.809979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_2.wav\n", + "Start: 43.043825, end: 59.583802\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_3.wav\n", + "Start: 90.770659, end: 98.941022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_4.wav\n", + "Start: 113.787149, end: 122.256423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_5.wav\n", + "Start: 151.350857, end: 158.325551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_6.wav\n", + "Start: 160.318321, end: 166.29662\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542356_7.wav\n", + "Start: 0.195202, end: 7.894839\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542357_1.wav\n", + "Start: 21.298692, end: 28.824815\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542357_2.wav\n", + "Start: 30.993718, end: 36.697959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542357_3.wav\n", + "Start: 11.332707, end: 17.107197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC542357_4.wav\n", + "Start: 2.134249, end: 12.614385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC78924_1.wav\n", + "Start: 12.614385, end: 24.687219\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC78924_2.wav\n", + "Start: 41.092254, end: 46.762368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC78924_3.wav\n", + "Start: 46.762368, end: 51.158264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus melanopogon\\XC78924_4.wav\n", + "Acrocephalus scirpaceus\n", + "Start: 5.797303, end: 22.015942\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_1.wav\n", + "Start: 23.396258, end: 36.233143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_2.wav\n", + "Start: 37.544438, end: 50.312306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_3.wav\n", + "Start: 50.588369, end: 88.61592\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_4.wav\n", + "Start: 91.100473, end: 97.656936\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_5.wav\n", + "Start: 101.146544, end: 126.095637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_6.wav\n", + "Start: 128.092787, end: 131.75061\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_7.wav\n", + "Start: 137.340865, end: 145.484698\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_8.wav\n", + "Start: 148.590393, end: 157.493409\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_9.wav\n", + "Start: 163.083651, end: 170.537324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_10.wav\n", + "Start: 172.262713, end: 210.083212\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_11.wav\n", + "Start: 212.42974, end: 233.134389\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_12.wav\n", + "Start: 234.11786, end: 237.016499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC416749_13.wav\n", + "Start: 0.336995, end: 72.36958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC417119_1.wav\n", + "Start: 0.0, end: 12.33805\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418140_1.wav\n", + "Start: 15.010347, end: 99.500415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418140_2.wav\n", + "Start: 0.0, end: 21.503991\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418412_1.wav\n", + "Start: 23.533714, end: 28.964576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418412_2.wav\n", + "Start: 31.872, end: 41.033156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418412_3.wav\n", + "Start: 45.476571, end: 65.663986\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418412_4.wav\n", + "Start: 69.881143, end: 79.536018\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418412_5.wav\n", + "Start: 80.468571, end: 93.689138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC418412_6.wav\n", + "Start: 0.0, end: 10.395397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421398_1.wav\n", + "Start: 17.75213, end: 28.6273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421398_2.wav\n", + "Start: 37.823231, end: 45.979626\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421398_3.wav\n", + "Start: 53.256389, end: 59.973396\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421398_4.wav\n", + "Start: 65.011178, end: 69.489182\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421398_5.wav\n", + "Start: 70.528731, end: 95.477666\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421398_6.wav\n", + "Start: 0.402831, end: 43.058114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421400_1.wav\n", + "Start: 60.648378, end: 117.67128\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421400_2.wav\n", + "Start: 123.310908, end: 132.2627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421400_3.wav\n", + "Start: 138.126121, end: 153.567958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421400_4.wav\n", + "Start: 0.06341, end: 7.947447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421435_1.wav\n", + "Start: 0.0, end: 43.934785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421439_1.wav\n", + "Start: 1.200767, end: 8.482468\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421556_1.wav\n", + "Start: 0.0, end: 41.47483\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421578_1.wav\n", + "Start: 72.209899, end: 96.562982\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC421578_2.wav\n", + "Start: 4.424038, end: 46.299367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC424110_1.wav\n", + "Start: 1.987336, end: 10.183504\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC429210_1.wav\n", + "Start: 0.0, end: 69.998708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437805_1.wav\n", + "Start: 0.0, end: 21.169375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437807_1.wav\n", + "Start: 30.757851, end: 44.082101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437807_2.wav\n", + "Start: 51.802697, end: 61.328926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437807_3.wav\n", + "Start: 76.770103, end: 80.692665\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437807_4.wav\n", + "Start: 87.60384, end: 107.652486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437807_5.wav\n", + "Start: 0.0, end: 13.924812\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437808_1.wav\n", + "Start: 20.579733, end: 58.378795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437808_2.wav\n", + "Start: 62.771479, end: 76.652375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC437808_3.wav\n", + "Start: 0.0, end: 24.333197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_1.wav\n", + "Start: 49.511035, end: 84.502577\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_2.wav\n", + "Start: 89.811651, end: 120.218091\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_3.wav\n", + "Start: 132.646137, end: 142.459857\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_4.wav\n", + "Start: 150.101693, end: 158.467475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_5.wav\n", + "Start: 164.701616, end: 176.888328\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_6.wav\n", + "Start: 182.358273, end: 199.733375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_7.wav\n", + "Start: 224.428576, end: 241.160163\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_8.wav\n", + "Start: 345.410862, end: 357.959547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_9.wav\n", + "Start: 248.078039, end: 268.349007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_10.wav\n", + "Start: 289.223278, end: 298.876112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_11.wav\n", + "Start: 372.358379, end: 376.621713\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_12.wav\n", + "Start: 381.528579, end: 384.987514\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_13.wav\n", + "Start: 401.638667, end: 424.081524\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_14.wav\n", + "Start: 441.215319, end: 450.948584\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_15.wav\n", + "Start: 455.051059, end: 477.091717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC440361_16.wav\n", + "Start: 0.0, end: 10.737596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC445285_1.wav\n", + "Start: 16.906001, end: 50.946455\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC445285_2.wav\n", + "Start: 67.03001, end: 102.806767\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC445285_3.wav\n", + "Start: 125.561328, end: 135.156611\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC445285_4.wav\n", + "Start: 146.488216, end: 156.631821\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC445285_5.wav\n", + "Start: 0.439917, end: 6.395722\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_1.wav\n", + "Start: 9.238256, end: 19.187145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_2.wav\n", + "Start: 20.066982, end: 24.601517\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_3.wav\n", + "Start: 25.345985, end: 30.015872\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_4.wav\n", + "Start: 30.48963, end: 35.362555\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_5.wav\n", + "Start: 35.667114, end: 41.927454\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_6.wav\n", + "Start: 42.401228, end: 46.495854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_7.wav\n", + "Start: 47.104955, end: 54.617382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC447310_8.wav\n", + "Start: 0.0, end: 9.789728\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC463520_1.wav\n", + "Start: 20.892735, end: 26.424322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC463520_2.wav\n", + "Start: 38.243653, end: 56.947622\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC463520_3.wav\n", + "Start: 0.0, end: 21.141633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC465331_1.wav\n", + "Start: 29.234304, end: 34.461629\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC465331_2.wav\n", + "Start: 38.682212, end: 46.077904\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC465331_3.wav\n", + "Start: 47.781631, end: 67.761631\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC465331_4.wav\n", + "Start: 2.023758, end: 19.948475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC465333_1.wav\n", + "Start: 22.911836, end: 56.845917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC465333_2.wav\n", + "Start: 0.0, end: 34.626893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC466132_1.wav\n", + "Start: 77.81582, end: 110.169607\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC466132_2.wav\n", + "Start: 9.71361, end: 34.807103\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC469295_1.wav\n", + "Start: 52.851484, end: 64.993502\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC469295_2.wav\n", + "Start: 88.080185, end: 94.926942\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC469295_3.wav\n", + "Start: 101.352079, end: 109.615394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC469295_4.wav\n", + "Start: 0.0, end: 8.826916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC470347_1.wav\n", + "Start: 31.328295, end: 70.470562\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC470347_2.wav\n", + "Start: 75.535196, end: 88.992611\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC470347_3.wav\n", + "Start: 92.465498, end: 124.589671\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC470347_4.wav\n", + "Start: 0.087223, end: 38.072765\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC471968_1.wav\n", + "Start: 0.281973, end: 45.651452\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC473833_1.wav\n", + "Start: 0.209039, end: 14.934686\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC473930_1.wav\n", + "Start: 0.0, end: 7.864875\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC474931_1.wav\n", + "Start: 8.874468, end: 11.167869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC474931_2.wav\n", + "Start: 11.429616, end: 17.48719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC474931_3.wav\n", + "Start: 1.653193, end: 5.510653\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC476409_1.wav\n", + "Start: 10.267197, end: 24.7979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC476409_2.wav\n", + "Start: 26.132047, end: 29.525426\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC476409_3.wav\n", + "Start: 36.631271, end: 49.305738\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC476409_4.wav\n", + "Start: 0.168, end: 52.516792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC481567_1.wav\n", + "Start: 4.722939, end: 19.038041\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC485380_1.wav\n", + "Start: 20.772571, end: 30.573728\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC485380_2.wav\n", + "Start: 8.592405, end: 20.7266\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511184_1.wav\n", + "Start: 0.0, end: 22.057937\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511190_1.wav\n", + "Start: 1.076969, end: 15.033052\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511192_1.wav\n", + "Start: 0.0, end: 45.881229\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511193_1.wav\n", + "Start: 48.497554, end: 81.871513\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511193_2.wav\n", + "Start: 82.190592, end: 95.335988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511193_3.wav\n", + "Start: 96.995109, end: 109.821442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511193_4.wav\n", + "Start: 0.0, end: 140.410083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC511697_1.wav\n", + "Start: 0.0, end: 33.208639\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC519994_1.wav\n", + "Start: 37.926034, end: 42.830275\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC519994_2.wav\n", + "Start: 48.294975, end: 65.296313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC519994_3.wav\n", + "Start: 69.593339, end: 79.168259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Acrocephalus scirpaceus\\XC519994_4.wav\n", + "Alcedo atthis\n", + "Start: 0.555072, end: 1.026822\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC395186_1.wav\n", + "Start: 1.497216, end: 1.757966\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC395186_2.wav\n", + "Start: 1.358397, end: 1.644111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC402382_1.wav\n", + "Start: 2.568747, end: 2.903804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC402382_2.wav\n", + "Start: 0.174588, end: 7.394293\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_1.wav\n", + "Start: 7.671581, end: 8.339109\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_2.wav\n", + "Start: 13.35081, end: 13.597273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_3.wav\n", + "Start: 14.028621, end: 14.346988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_4.wav\n", + "Start: 14.850209, end: 15.497216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_5.wav\n", + "Start: 16.503656, end: 16.750141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_6.wav\n", + "Start: 8.749916, end: 9.438011\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_7.wav\n", + "Start: 10.393092, end: 11.563863\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_8.wav\n", + "Start: 11.99519, end: 12.734623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC425999_9.wav\n", + "Start: 0.322127, end: 2.236299\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC428404_1.wav\n", + "Start: 4.292963, end: 5.519517\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC428404_2.wav\n", + "Start: 0.897299, end: 3.632083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC437194_1.wav\n", + "Start: 4.225881, end: 4.59867\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC437194_2.wav\n", + "Start: 0.41772, end: 0.556972\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_1.wav\n", + "Start: 0.91139, end: 1.037988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_2.wav\n", + "Start: 1.734172, end: 1.867075\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_3.wav\n", + "Start: 3.43037, end: 3.61393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_4.wav\n", + "Start: 4.303785, end: 4.417708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_5.wav\n", + "Start: 5.094922, end: 5.234174\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_6.wav\n", + "Start: 8.115484, end: 8.235733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_7.wav\n", + "Start: 10.261047, end: 10.441433\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC442159_8.wav\n", + "Start: 0.889596, end: 1.530835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC447433_1.wav\n", + "Start: 1.223352, end: 1.433216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC459840_1.wav\n", + "Start: 1.703855, end: 2.377665\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC459840_2.wav\n", + "Start: 3.91583, end: 4.266542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC459840_3.wav\n", + "Start: 1.062048, end: 1.464444\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC459889_1.wav\n", + "Start: 0.213473, end: 0.731908\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_1.wav\n", + "Start: 2.195719, end: 2.409188\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_2.wav\n", + "Start: 3.374901, end: 3.58837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_3.wav\n", + "Start: 5.204667, end: 5.397796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_4.wav\n", + "Start: 6.302526, end: 6.516018\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_5.wav\n", + "Start: 9.067505, end: 9.423287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_6.wav\n", + "Start: 12.737202, end: 13.092984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_7.wav\n", + "Start: 14.434817, end: 14.749965\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_8.wav\n", + "Start: 15.583504, end: 15.918946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_9.wav\n", + "Start: 17.047316, end: 17.443756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_10.wav\n", + "Start: 11.16157, end: 11.456377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC460195_11.wav\n", + "Start: 0.142971, end: 0.543284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC462870_1.wav\n", + "Start: 2.287543, end: 2.64973\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC462870_2.wav\n", + "Start: 4.108046, end: 4.556025\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC462870_3.wav\n", + "Start: 5.375726, end: 5.756976\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC462870_4.wav\n", + "Start: 6.748251, end: 7.186689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC462870_5.wav\n", + "Start: 3.329335, end: 5.012791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463076_1.wav\n", + "Start: 5.456201, end: 5.771847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463076_2.wav\n", + "Start: 6.508361, end: 6.839049\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463076_3.wav\n", + "Start: 7.553006, end: 7.936297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463076_4.wav\n", + "Start: 9.191369, end: 9.619744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463076_5.wav\n", + "Start: 11.701522, end: 12.047231\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463076_6.wav\n", + "Start: 2.447328, end: 2.732245\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463078_1.wav\n", + "Start: 1.582368, end: 1.872368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463078_2.wav\n", + "Start: 3.607392, end: 3.907579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463078_3.wav\n", + "Start: 4.772544, end: 5.067648\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463078_4.wav\n", + "Start: 2.25493, end: 2.619222\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463089_1.wav\n", + "Start: 5.081445, end: 5.496007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463089_2.wav\n", + "Start: 0.088667, end: 0.622635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463509_1.wav\n", + "Start: 1.156612, end: 1.339855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463509_2.wav\n", + "Start: 1.954616, end: 2.104344\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463509_3.wav\n", + "Start: 2.478737, end: 2.618646\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463509_4.wav\n", + "Start: 3.282651, end: 3.41467\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC463509_5.wav\n", + "Start: 1.315586, end: 2.044498\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_1.wav\n", + "Start: 4.142319, end: 5.120119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_2.wav\n", + "Start: 7.164612, end: 8.142412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_3.wav\n", + "Start: 11.218039, end: 11.875817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_4.wav\n", + "Start: 13.653652, end: 14.613674\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_5.wav\n", + "Start: 17.031508, end: 17.831508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_6.wav\n", + "Start: 25.209477, end: 26.133944\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_7.wav\n", + "Start: 29.440687, end: 30.205154\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC466765_8.wav\n", + "Start: 0.712375, end: 1.070917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC469410_1.wav\n", + "Start: 1.76743, end: 2.2704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC470769_1.wav\n", + "Start: 3.973783, end: 4.340158\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC474176_1.wav\n", + "Start: 20.050121, end: 20.355954\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC486202_1.wav\n", + "Start: 0.457546, end: 0.679247\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC489350_1.wav\n", + "Start: 1.041271, end: 1.202835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC489350_2.wav\n", + "Start: 1.674524, end: 1.820759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC489350_3.wav\n", + "Start: 0.36373, end: 0.644459\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC490838_1.wav\n", + "Start: 3.022135, end: 3.219885\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC490838_2.wav\n", + "Start: 2.332212, end: 2.842711\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC493312_1.wav\n", + "Start: 4.556949, end: 5.051348\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC493312_2.wav\n", + "Start: 5.776793, end: 6.727949\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC493312_3.wav\n", + "Start: 7.904802, end: 8.243351\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC493312_4.wav\n", + "Start: 3.17557, end: 3.881258\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_1.wav\n", + "Start: 5.634437, end: 6.108562\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_2.wav\n", + "Start: 8.523324, end: 8.887178\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_3.wav\n", + "Start: 12.878707, end: 13.23154\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_4.wav\n", + "Start: 20.012709, end: 20.718396\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_5.wav\n", + "Start: 24.577591, end: 25.095841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_6.wav\n", + "Start: 26.198455, end: 26.485142\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_7.wav\n", + "Start: 30.78539, end: 31.138223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_8.wav\n", + "Start: 35.284114, end: 35.681073\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_9.wav\n", + "Start: 36.993189, end: 37.423209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_10.wav\n", + "Start: 40.731099, end: 41.414724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_11.wav\n", + "Start: 42.164517, end: 42.539412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_12.wav\n", + "Start: 43.101751, end: 43.653063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_13.wav\n", + "Start: 46.244242, end: 46.696305\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_14.wav\n", + "Start: 47.688686, end: 49.717519\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_15.wav\n", + "Start: 55.285797, end: 55.770963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_16.wav\n", + "Start: 59.486811, end: 60.093249\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_17.wav\n", + "Start: 65.143296, end: 66.885463\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_18.wav\n", + "Start: 67.756526, end: 68.374005\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_19.wav\n", + "Start: 68.572471, end: 70.502054\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_20.wav\n", + "Start: 70.854912, end: 71.814204\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_21.wav\n", + "Start: 72.001646, end: 72.277312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_22.wav\n", + "Start: 72.696302, end: 73.060177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_23.wav\n", + "Start: 73.512247, end: 74.030476\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC495975_24.wav\n", + "Start: 0.727406, end: 0.984156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC498608_1.wav\n", + "Start: 6.100869, end: 6.983535\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC499043_1.wav\n", + "Start: 33.334107, end: 34.190837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC499043_2.wav\n", + "Start: 35.151387, end: 35.670596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC499043_3.wav\n", + "Start: 6.230894, end: 6.607769\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC499081_1.wav\n", + "Start: 2.326217, end: 2.770321\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC499646_1.wav\n", + "Start: 1.130743, end: 1.475285\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC499652_1.wav\n", + "Start: 0.082428, end: 0.430863\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC500306_1.wav\n", + "Start: 1.813405, end: 2.17683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC500306_2.wav\n", + "Start: 3.327075, end: 3.690499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC500306_3.wav\n", + "Start: 5.916048, end: 6.069653\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC500306_4.wav\n", + "Start: 1.133074, end: 2.092845\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_1.wav\n", + "Start: 2.646062, end: 2.879333\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_2.wav\n", + "Start: 3.692489, end: 3.892447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_3.wav\n", + "Start: 4.758912, end: 4.972183\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_4.wav\n", + "Start: 6.185253, end: 8.957961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_5.wav\n", + "Start: 10.037705, end: 11.410726\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_6.wav\n", + "Start: 12.410496, end: 14.170079\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_7.wav\n", + "Start: 14.689975, end: 16.942787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_8.wav\n", + "Start: 17.702619, end: 21.448432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_9.wav\n", + "Start: 21.92832, end: 26.340653\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_10.wav\n", + "Start: 26.820535, end: 27.620347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_11.wav\n", + "Start: 28.300197, end: 28.606801\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_12.wav\n", + "Start: 29.708308, end: 30.465974\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_13.wav\n", + "Start: 31.369846, end: 31.569221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_14.wav\n", + "Start: 32.898462, end: 33.177607\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_15.wav\n", + "Start: 34.453662, end: 34.785974\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_16.wav\n", + "Start: 36.607015, end: 36.912724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_17.wav\n", + "Start: 39.863631, end: 40.847277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_18.wav\n", + "Start: 42.588554, end: 43.838012\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_19.wav\n", + "Start: 44.874831, end: 45.094143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC501144_20.wav\n", + "Start: 1.659813, end: 2.153563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC502961_1.wav\n", + "Start: 4.685294, end: 5.079231\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC502961_2.wav\n", + "Start: 0.135628, end: 0.639392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_1.wav\n", + "Start: 1.152836, end: 1.617847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_2.wav\n", + "Start: 2.964435, end: 3.545682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_3.wav\n", + "Start: 4.272274, end: 4.495109\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_4.wav\n", + "Start: 5.599489, end: 5.899829\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_5.wav\n", + "Start: 7.721094, end: 8.321729\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_6.wav\n", + "Start: 10.995536, end: 11.460547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_7.wav\n", + "Start: 15.752195, end: 16.207501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503769_8.wav\n", + "Start: 1.875801, end: 3.946005\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503772_1.wav\n", + "Start: 4.429412, end: 4.707893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503772_2.wav\n", + "Start: 5.40672, end: 5.816561\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503772_3.wav\n", + "Start: 6.820139, end: 7.072361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503772_4.wav\n", + "Start: 7.634562, end: 7.897283\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC503772_5.wav\n", + "Start: 3.960581, end: 5.63337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC505719_1.wav\n", + "Start: 0.657121, end: 0.831135\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC509443_1.wav\n", + "Start: 2.360962, end: 2.520712\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC509674_1.wav\n", + "Start: 2.925878, end: 3.560935\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC509674_2.wav\n", + "Start: 4.573877, end: 4.788162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC509674_3.wav\n", + "Start: 5.520599, end: 5.719306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC509674_4.wav\n", + "Start: 1.596487, end: 4.464258\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_1.wav\n", + "Start: 5.765091, end: 6.179008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_2.wav\n", + "Start: 6.474641, end: 7.893745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_3.wav\n", + "Start: 8.485032, end: 8.721532\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_4.wav\n", + "Start: 9.431082, end: 9.63804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_5.wav\n", + "Start: 10.850181, end: 11.086681\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_6.wav\n", + "Start: 12.505797, end: 12.75711\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_7.wav\n", + "Start: 14.294454, end: 15.299641\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_8.wav\n", + "Start: 16.334426, end: 16.556176\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_9.wav\n", + "Start: 17.738743, end: 17.864389\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_10.wav\n", + "Start: 19.475661, end: 19.653036\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_11.wav\n", + "Start: 25.041192, end: 25.277713\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_12.wav\n", + "Start: 30.037605, end: 30.274125\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_13.wav\n", + "Start: 31.146276, end: 31.353234\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_14.wav\n", + "Start: 33.555789, end: 33.836643\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_15.wav\n", + "Start: 34.605331, end: 34.82706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_16.wav\n", + "Start: 38.138297, end: 38.38961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_17.wav\n", + "Start: 39.291315, end: 39.557399\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_18.wav\n", + "Start: 40.444334, end: 40.6365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_19.wav\n", + "Start: 43.666872, end: 43.888601\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_20.wav\n", + "Start: 46.638111, end: 46.904195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_21.wav\n", + "Start: 47.732001, end: 47.968521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_22.wav\n", + "Start: 49.919779, end: 50.126737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_23.wav\n", + "Start: 50.791934, end: 50.954538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_24.wav\n", + "Start: 52.521461, end: 52.74319\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_25.wav\n", + "Start: 55.004885, end: 55.241406\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_26.wav\n", + "Start: 56.187468, end: 57.163114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_27.wav\n", + "Start: 57.62135, end: 57.813516\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_28.wav\n", + "Start: 58.596981, end: 59.676085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_29.wav\n", + "Start: 60.01608, end: 60.208247\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_30.wav\n", + "Start: 62.514286, end: 62.987307\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_31.wav\n", + "Start: 63.423397, end: 65.101189\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_32.wav\n", + "Start: 109.034139, end: 110.18716\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_33.wav\n", + "Start: 147.468082, end: 149.537603\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_34.wav\n", + "Start: 191.75581, end: 193.677498\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511641_35.wav\n", + "Start: 0.753285, end: 5.817014\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_1.wav\n", + "Start: 6.319221, end: 8.662762\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_2.wav\n", + "Start: 10.420437, end: 11.131874\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_3.wav\n", + "Start: 13.68467, end: 14.145003\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_4.wav\n", + "Start: 14.772747, end: 28.038914\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_5.wav\n", + "Start: 36.680774, end: 38.124565\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_6.wav\n", + "Start: 39.442817, end: 40.719213\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_7.wav\n", + "Start: 53.713375, end: 54.173708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_8.wav\n", + "Start: 65.389286, end: 66.100723\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_9.wav\n", + "Start: 70.411183, end: 70.934287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_10.wav\n", + "Start: 87.255463, end: 87.778588\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_11.wav\n", + "Start: 88.762032, end: 89.159595\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_12.wav\n", + "Start: 93.198041, end: 94.202416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_13.wav\n", + "Start: 117.700714, end: 118.809714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_14.wav\n", + "Start: 134.691466, end: 136.88855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511642_15.wav\n", + "Start: 43.91712, end: 46.826162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511647_1.wav\n", + "Start: 0.740242, end: 1.138826\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511664_1.wav\n", + "Start: 3.544622, end: 3.985913\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511664_2.wav\n", + "Start: 9.110674, end: 9.523508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511664_3.wav\n", + "Start: 10.562688, end: 10.932813\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511664_4.wav\n", + "Start: 16.612745, end: 17.039808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511664_5.wav\n", + "Start: 1.017902, end: 1.375548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_1.wav\n", + "Start: 1.953271, end: 2.599771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_2.wav\n", + "Start: 5.405883, end: 5.777279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_3.wav\n", + "Start: 6.341253, end: 6.946503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_4.wav\n", + "Start: 7.441687, end: 8.115708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_5.wav\n", + "Start: 11.747136, end: 14.264365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_6.wav\n", + "Start: 18.583584, end: 19.57398\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511665_7.wav\n", + "Start: 0.839561, end: 2.415582\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511666_1.wav\n", + "Start: 11.724398, end: 12.004252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511666_2.wav\n", + "Start: 12.910094, end: 13.300427\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511666_3.wav\n", + "Start: 17.512951, end: 17.822263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511666_4.wav\n", + "Start: 21.939058, end: 22.211537\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511666_5.wav\n", + "Start: 15.433303, end: 16.725865\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511667_1.wav\n", + "Start: 20.345074, end: 21.327428\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511667_2.wav\n", + "Start: 25.282697, end: 25.928989\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511667_3.wav\n", + "Start: 28.126354, end: 30.970021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511667_4.wav\n", + "Start: 33.942926, end: 34.434113\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511667_5.wav\n", + "Start: 0.794222, end: 2.340847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_1.wav\n", + "Start: 5.622254, end: 6.050712\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_2.wav\n", + "Start: 7.357001, end: 7.743668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_3.wav\n", + "Start: 11.254958, end: 11.934229\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_4.wav\n", + "Start: 14.525897, end: 15.341022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_5.wav\n", + "Start: 18.873216, end: 19.385278\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_6.wav\n", + "Start: 20.231753, end: 20.764711\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_7.wav\n", + "Start: 25.143387, end: 25.540492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_8.wav\n", + "Start: 28.644233, end: 29.145858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_9.wav\n", + "Start: 32.113728, end: 32.489936\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511668_10.wav\n", + "Start: 1.230171, end: 4.018567\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511669_1.wav\n", + "Start: 7.565554, end: 7.955096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511669_2.wav\n", + "Start: 10.579474, end: 11.276558\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511669_3.wav\n", + "Start: 15.64368, end: 25.444034\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511669_4.wav\n", + "Start: 26.161646, end: 27.842875\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511669_5.wav\n", + "Start: 3.740503, end: 4.758045\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_1.wav\n", + "Start: 7.180046, end: 7.810629\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_2.wav\n", + "Start: 13.012937, end: 14.21677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_3.wav\n", + "Start: 11.221509, end: 12.221134\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_4.wav\n", + "Start: 19.017806, end: 19.297264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_5.wav\n", + "Start: 19.849029, end: 20.078341\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_6.wav\n", + "Start: 22.005909, end: 23.4462\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511670_7.wav\n", + "Start: 2.84928, end: 10.321384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511671_1.wav\n", + "Start: 17.880686, end: 20.381082\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511671_2.wav\n", + "Start: 33.406354, end: 34.54025\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511671_3.wav\n", + "Start: 41.605303, end: 42.85549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511671_4.wav\n", + "Start: 44.687177, end: 46.460698\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511671_5.wav\n", + "Start: 9.779863, end: 10.205092\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511672_1.wav\n", + "Start: 11.501969, end: 11.927177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511672_2.wav\n", + "Start: 14.457189, end: 14.924918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511672_3.wav\n", + "Start: 23.492931, end: 24.045702\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511672_4.wav\n", + "Start: 52.215963, end: 57.233463\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511672_5.wav\n", + "Start: 75.049817, end: 76.878234\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511672_6.wav\n", + "Start: 0.617911, end: 3.20189\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_1.wav\n", + "Start: 7.190235, end: 9.212485\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_2.wav\n", + "Start: 9.542506, end: 9.879548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_3.wav\n", + "Start: 10.532568, end: 10.813443\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_4.wav\n", + "Start: 15.166899, end: 15.644378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_5.wav\n", + "Start: 19.541431, end: 19.864431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_6.wav\n", + "Start: 21.444315, end: 21.767315\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_7.wav\n", + "Start: 68.953234, end: 70.413755\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_8.wav\n", + "Start: 72.155136, end: 74.402074\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_9.wav\n", + "Start: 74.879561, end: 75.44129\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_10.wav\n", + "Start: 76.059209, end: 76.592855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511673_11.wav\n", + "Start: 4.859246, end: 6.592996\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_1.wav\n", + "Start: 2.252709, end: 3.785959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_2.wav\n", + "Start: 7.92576, end: 8.208823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_3.wav\n", + "Start: 8.739566, end: 9.03442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_4.wav\n", + "Start: 9.753874, end: 10.048728\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_5.wav\n", + "Start: 10.909714, end: 11.228173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_6.wav\n", + "Start: 11.924023, end: 12.254273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_7.wav\n", + "Start: 12.843977, end: 13.516248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_8.wav\n", + "Start: 15.898697, end: 16.346885\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_9.wav\n", + "Start: 17.160686, end: 17.372977\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_10.wav\n", + "Start: 18.033463, end: 18.198588\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_11.wav\n", + "Start: 19.307246, end: 19.566725\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_12.wav\n", + "Start: 20.498469, end: 20.757948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_13.wav\n", + "Start: 21.206126, end: 21.536376\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_14.wav\n", + "Start: 23.03424, end: 23.718303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_15.wav\n", + "Start: 24.154697, end: 25.522843\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_16.wav\n", + "Start: 28.270903, end: 28.495007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_17.wav\n", + "Start: 41.633829, end: 41.916891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_18.wav\n", + "Start: 48.46272, end: 49.241137\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_19.wav\n", + "Start: 49.748297, end: 51.281568\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_20.wav\n", + "Start: 59.207314, end: 60.481106\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_21.wav\n", + "Start: 61.648731, end: 62.450752\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511674_22.wav\n", + "Start: 0.717521, end: 4.052667\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_1.wav\n", + "Start: 4.570875, end: 5.089084\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_2.wav\n", + "Start: 7.02905, end: 8.185071\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_3.wav\n", + "Start: 8.743128, end: 9.02217\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_4.wav\n", + "Start: 10.656518, end: 10.922268\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_5.wav\n", + "Start: 20.781538, end: 20.994142\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_6.wav\n", + "Start: 21.472485, end: 22.150151\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_7.wav\n", + "Start: 24.714617, end: 26.003492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_8.wav\n", + "Start: 29.591103, end: 30.813541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_9.wav\n", + "Start: 32.315026, end: 33.577339\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_10.wav\n", + "Start: 39.902148, end: 41.058148\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_11.wav\n", + "Start: 42.333747, end: 42.62606\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_12.wav\n", + "Start: 48.339665, end: 48.592123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_13.wav\n", + "Start: 49.469097, end: 49.734847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_14.wav\n", + "Start: 50.651678, end: 50.850969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_15.wav\n", + "Start: 51.595085, end: 51.847543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_16.wav\n", + "Start: 56.803757, end: 56.989778\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_17.wav\n", + "Start: 60.989297, end: 61.18861\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_18.wav\n", + "Start: 116.78321, end: 116.982522\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_19.wav\n", + "Start: 117.407719, end: 126.921511\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_20.wav\n", + "Start: 127.346715, end: 128.250278\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_21.wav\n", + "Start: 128.688746, end: 128.90135\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_22.wav\n", + "Start: 129.193668, end: 129.73846\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_23.wav\n", + "Start: 130.349674, end: 131.014049\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_24.wav\n", + "Start: 157.349729, end: 159.861062\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_25.wav\n", + "Start: 162.093341, end: 162.70457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_26.wav\n", + "Start: 166.066282, end: 166.770511\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_27.wav\n", + "Start: 167.129277, end: 167.395027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_28.wav\n", + "Start: 167.700636, end: 167.992948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_29.wav\n", + "Start: 172.869446, end: 174.875862\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_30.wav\n", + "Start: 175.022009, end: 177.280884\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_31.wav\n", + "Start: 177.918669, end: 178.397023\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC511677_32.wav\n", + "Start: 1.263386, end: 1.73062\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC520709_1.wav\n", + "Start: 1.568777, end: 2.237902\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522819_1.wav\n", + "Start: 0.082099, end: 0.757541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522990_1.wav\n", + "Start: 1.132595, end: 1.337856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522990_2.wav\n", + "Start: 1.776327, end: 2.03195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522990_3.wav\n", + "Start: 2.137563, end: 3.246406\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_1.wav\n", + "Start: 4.088089, end: 4.662556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_2.wav\n", + "Start: 7.708585, end: 8.189538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_3.wav\n", + "Start: 12.05051, end: 12.584909\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_4.wav\n", + "Start: 15.337012, end: 15.844699\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_5.wav\n", + "Start: 16.559431, end: 16.819952\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_6.wav\n", + "Start: 19.177945, end: 19.986222\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_7.wav\n", + "Start: 17.634892, end: 17.895391\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_8.wav\n", + "Start: 18.115844, end: 18.576751\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC522991_9.wav\n", + "Start: 3.621175, end: 3.785779\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_1.wav\n", + "Start: 2.364898, end: 2.517398\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_2.wav\n", + "Start: 4.047195, end: 4.187591\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_3.wav\n", + "Start: 4.463534, end: 4.686221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_4.wav\n", + "Start: 5.368827, end: 5.509223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_5.wav\n", + "Start: 5.71981, end: 5.954602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_6.wav\n", + "Start: 6.806647, end: 7.055959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_7.wav\n", + "Start: 7.32707, end: 7.431153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_8.wav\n", + "Start: 7.658688, end: 7.782146\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_9.wav\n", + "Start: 8.033877, end: 8.19121\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526238_10.wav\n", + "Start: 0.568718, end: 0.916968\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC526276_1.wav\n", + "Start: 7.892801, end: 8.87627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC534607_1.wav\n", + "Start: 9.274664, end: 9.473847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC534607_2.wav\n", + "Start: 0.894507, end: 1.111287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538130_1.wav\n", + "Start: 2.191017, end: 2.435166\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538130_2.wav\n", + "Start: 0.486504, end: 4.09265\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538132_1.wav\n", + "Start: 65.933966, end: 67.167716\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_1.wav\n", + "Start: 70.241921, end: 70.909359\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_2.wav\n", + "Start: 77.260046, end: 78.008379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_3.wav\n", + "Start: 78.675806, end: 79.080306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_4.wav\n", + "Start: 82.07363, end: 82.741067\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_5.wav\n", + "Start: 83.064662, end: 83.812995\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_6.wav\n", + "Start: 84.19727, end: 84.884916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_7.wav\n", + "Start: 85.754606, end: 86.320918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_8.wav\n", + "Start: 86.745638, end: 87.392825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_9.wav\n", + "Start: 89.273781, end: 89.981676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_10.wav\n", + "Start: 91.640122, end: 92.246872\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_11.wav\n", + "Start: 98.536896, end: 99.103208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_12.wav\n", + "Start: 99.426802, end: 99.831302\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_13.wav\n", + "Start: 100.660536, end: 101.206619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_14.wav\n", + "Start: 105.089842, end: 106.182009\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_15.wav\n", + "Start: 106.444927, end: 107.435969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_16.wav\n", + "Start: 109.76185, end: 110.16635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_17.wav\n", + "Start: 112.937198, end: 116.173239\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_18.wav\n", + "Start: 116.860875, end: 118.296855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_19.wav\n", + "Start: 123.818325, end: 124.70822\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_20.wav\n", + "Start: 126.71052, end: 127.458853\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_21.wav\n", + "Start: 128.308306, end: 130.411723\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_22.wav\n", + "Start: 130.715098, end: 131.28139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538941_23.wav\n", + "Start: 0.924189, end: 1.39448\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_1.wav\n", + "Start: 2.253051, end: 2.373364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_2.wav\n", + "Start: 5.255297, end: 5.72013\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_3.wav\n", + "Start: 13.687834, end: 13.988605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_4.wav\n", + "Start: 17.083817, end: 17.5924\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_5.wav\n", + "Start: 18.057223, end: 18.664223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_6.wav\n", + "Start: 19.211091, end: 19.747029\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_7.wav\n", + "Start: 20.714949, end: 21.283678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_8.wav\n", + "Start: 21.710229, end: 22.246145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_9.wav\n", + "Start: 24.329674, end: 24.865612\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_10.wav\n", + "Start: 26.615537, end: 27.16785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_11.wav\n", + "Start: 29.765434, end: 29.95683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_12.wav\n", + "Start: 33.505937, end: 33.976229\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_13.wav\n", + "Start: 32.488783, end: 32.997345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_14.wav\n", + "Start: 34.473874, end: 35.217603\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_15.wav\n", + "Start: 35.660554, end: 36.059742\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_16.wav\n", + "Start: 36.623023, end: 37.15894\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_17.wav\n", + "Start: 37.74408, end: 37.935476\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_18.wav\n", + "Start: 38.70108, end: 38.854205\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_19.wav\n", + "Start: 40.133846, end: 40.3307\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_20.wav\n", + "Start: 40.697109, end: 41.085379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_21.wav\n", + "Start: 41.555674, end: 41.867383\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_22.wav\n", + "Start: 42.753291, end: 43.19625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_23.wav\n", + "Start: 43.748571, end: 43.978259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_24.wav\n", + "Start: 44.2134, end: 44.3884\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_25.wav\n", + "Start: 44.820411, end: 44.984453\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_26.wav\n", + "Start: 47.904686, end: 54.532602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_27.wav\n", + "Start: 55.779429, end: 56.741887\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_28.wav\n", + "Start: 57.157509, end: 62.954196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_29.wav\n", + "Start: 63.216686, end: 65.447852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_30.wav\n", + "Start: 68.29152, end: 68.707124\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC538943_31.wav\n", + "Start: 0.144165, end: 5.109831\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC544658_1.wav\n", + "Start: 10.243694, end: 10.82036\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC544658_2.wav\n", + "Start: 11.437056, end: 11.797452\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Alcedo atthis\\XC544658_3.wav\n", + "Anas platyrhynchos\n", + "Start: 0.920466, end: 18.465432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113587_1.wav\n", + "Start: 0.0, end: 3.321458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113968_1.wav\n", + "Start: 3.781358, end: 15.432024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113968_2.wav\n", + "Start: 16.198519, end: 19.928769\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113968_3.wav\n", + "Start: 22.841445, end: 25.268674\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113968_4.wav\n", + "Start: 25.421966, end: 27.874737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113968_5.wav\n", + "Start: 31.886043, end: 36.536085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC113968_6.wav\n", + "Start: 0.614016, end: 1.725078\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_1.wav\n", + "Start: 4.502784, end: 6.900367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_2.wav\n", + "Start: 8.362313, end: 10.438271\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_3.wav\n", + "Start: 10.642944, end: 14.151611\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_4.wav\n", + "Start: 15.584311, end: 17.192457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_5.wav\n", + "Start: 19.736229, end: 31.694916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_6.wav\n", + "Start: 35.145106, end: 36.607044\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_7.wav\n", + "Start: 39.91104, end: 42.191665\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_8.wav\n", + "Start: 45.554139, end: 46.899119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC127375_9.wav\n", + "Start: 1.943174, end: 3.429138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_1.wav\n", + "Start: 5.258001, end: 9.395824\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_2.wav\n", + "Start: 12.299151, end: 20.163278\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_3.wav\n", + "Start: 21.077726, end: 23.295232\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_4.wav\n", + "Start: 32.14239, end: 38.154816\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_5.wav\n", + "Start: 39.98367, end: 48.145008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_6.wav\n", + "Start: 51.894185, end: 52.442848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_7.wav\n", + "Start: 54.523186, end: 58.180918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_8.wav\n", + "Start: 59.506857, end: 63.027446\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_9.wav\n", + "Start: 73.497712, end: 77.818415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC196991_10.wav\n", + "Start: 1.750607, end: 10.579745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC207216_1.wav\n", + "Start: 26.887042, end: 29.34169\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC207216_2.wav\n", + "Start: 36.115786, end: 40.149799\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC207216_3.wav\n", + "Start: 88.938453, end: 91.906865\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC207216_4.wav\n", + "Start: 6.089143, end: 6.413587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC287835_1.wav\n", + "Start: 7.076571, end: 7.41512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC287835_2.wav\n", + "Start: 0.155643, end: 0.786175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_1.wav\n", + "Start: 1.149367, end: 3.280492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_2.wav\n", + "Start: 3.519936, end: 3.707498\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_3.wav\n", + "Start: 4.026775, end: 4.198369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_4.wav\n", + "Start: 4.51765, end: 5.4994\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_5.wav\n", + "Start: 6.177847, end: 6.808409\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_6.wav\n", + "Start: 5.746834, end: 5.842616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303987_7.wav\n", + "Start: 0.12923, end: 9.857355\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303989_1.wav\n", + "Start: 10.733246, end: 11.113746\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303989_2.wav\n", + "Start: 11.975287, end: 12.298381\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC303989_3.wav\n", + "Start: 12.402103, end: 13.041603\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC304006_1.wav\n", + "Start: 20.715387, end: 21.335512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC304006_2.wav\n", + "Start: 5.813486, end: 6.743642\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC304006_3.wav\n", + "Start: 0.251918, end: 1.065824\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC304006_4.wav\n", + "Start: 28.951159, end: 30.113846\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC304006_5.wav\n", + "Start: 1.49607, end: 3.663009\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC306130_1.wav\n", + "Start: 0.578814, end: 3.27734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_1.wav\n", + "Start: 4.192489, end: 4.513169\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_2.wav\n", + "Start: 5.991505, end: 8.752616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_3.wav\n", + "Start: 8.948148, end: 9.910234\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_4.wav\n", + "Start: 10.097954, end: 11.607568\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_5.wav\n", + "Start: 11.72489, end: 12.084685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_6.wav\n", + "Start: 12.491427, end: 13.617776\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC340598_7.wav\n", + "Start: 1.240512, end: 2.55697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC348396_1.wav\n", + "Start: 10.936759, end: 16.962113\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC348396_2.wav\n", + "Start: 24.708974, end: 25.493786\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC348396_3.wav\n", + "Start: 37.012827, end: 38.506494\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC348396_4.wav\n", + "Start: 0.09973, end: 27.575418\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC357023_1.wav\n", + "Start: 1.868873, end: 4.215227\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC367038_1.wav\n", + "Start: 1.245477, end: 3.099206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC512909_1.wav\n", + "Start: 9.217975, end: 10.9486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC512909_2.wav\n", + "Start: 0.707657, end: 6.58697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC521562_1.wav\n", + "Start: 1.973705, end: 2.409247\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC521563_1.wav\n", + "Start: 2.136178, end: 4.265678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC536892_1.wav\n", + "Start: 1.877349, end: 5.285453\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC536895_1.wav\n", + "Start: 17.416018, end: 19.206727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC536895_2.wav\n", + "Start: 30.846281, end: 33.73451\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC536895_3.wav\n", + "Start: 44.85419, end: 48.868836\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas platyrhynchos\\XC536895_4.wav\n", + "Anas strepera\n", + "Start: 0.385657, end: 13.305163\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_1.wav\n", + "Start: 13.642613, end: 20.198781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_2.wav\n", + "Start: 20.439816, end: 25.477458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_3.wav\n", + "Start: 25.839013, end: 28.827856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_4.wav\n", + "Start: 29.960721, end: 30.756141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_5.wav\n", + "Start: 31.093588, end: 33.696786\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_6.wav\n", + "Start: 37.143581, end: 40.301155\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_7.wav\n", + "Start: 40.92784, end: 42.494574\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_8.wav\n", + "Start: 43.145367, end: 43.916682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_9.wav\n", + "Start: 44.615684, end: 47.966069\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_10.wav\n", + "Start: 48.978428, end: 49.797951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_11.wav\n", + "Start: 50.304123, end: 50.786187\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_12.wav\n", + "Start: 51.412887, end: 53.654519\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_13.wav\n", + "Start: 55.775631, end: 57.36647\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_14.wav\n", + "Start: 58.089572, end: 58.716261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_15.wav\n", + "Start: 58.9573, end: 66.646325\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_16.wav\n", + "Start: 67.031992, end: 71.105484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_17.wav\n", + "Start: 71.250114, end: 79.156078\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_18.wav\n", + "Start: 80.023809, end: 86.049704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_19.wav\n", + "Start: 88.532364, end: 90.894519\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_20.wav\n", + "Start: 93.618215, end: 94.799303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_21.wav\n", + "Start: 95.908053, end: 96.992724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_22.wav\n", + "Start: 97.956855, end: 102.801685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_23.wav\n", + "Start: 103.307845, end: 105.838706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_24.wav\n", + "Start: 106.079754, end: 113.383132\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_25.wav\n", + "Start: 113.816995, end: 115.070397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_26.wav\n", + "Start: 119.529538, end: 121.072169\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_27.wav\n", + "Start: 124.326146, end: 125.820568\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_28.wav\n", + "Start: 127.628334, end: 132.063368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_29.wav\n", + "Start: 132.810598, end: 135.124544\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_30.wav\n", + "Start: 138.643659, end: 141.56019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_31.wav\n", + "Start: 142.331503, end: 143.271549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_32.wav\n", + "Start: 144.404409, end: 145.995248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_33.wav\n", + "Start: 147.031697, end: 148.839452\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_34.wav\n", + "Start: 157.589055, end: 162.144633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC109629_35.wav\n", + "Start: 0.867803, end: 2.202882\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC208527_1.wav\n", + "Start: 14.685892, end: 16.421492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC208527_2.wav\n", + "Start: 40.252694, end: 53.436617\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC208527_3.wav\n", + "Start: 2.32848, end: 3.548167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_1.wav\n", + "Start: 5.43312, end: 7.381432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_2.wav\n", + "Start: 7.66656, end: 9.012966\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_3.wav\n", + "Start: 10.16928, end: 11.151374\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_4.wav\n", + "Start: 13.90752, end: 16.220145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_5.wav\n", + "Start: 16.48944, end: 16.980471\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_6.wav\n", + "Start: 21.01968, end: 21.779992\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_7.wav\n", + "Start: 24.88464, end: 25.866734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_8.wav\n", + "Start: 26.24688, end: 26.912161\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC209951_9.wav\n", + "Start: 0.909669, end: 1.4392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC210379_1.wav\n", + "Start: 2.752766, end: 3.441797\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC210379_2.wav\n", + "Start: 4.090114, end: 4.507614\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC210379_3.wav\n", + "Start: 4.982811, end: 5.11178\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC210379_4.wav\n", + "Start: 2.870335, end: 12.13741\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_1.wav\n", + "Start: 12.301434, end: 20.99445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_2.wav\n", + "Start: 21.363491, end: 27.022153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_3.wav\n", + "Start: 27.514208, end: 29.851465\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_4.wav\n", + "Start: 30.753586, end: 33.849459\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_5.wav\n", + "Start: 34.772055, end: 39.897633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_6.wav\n", + "Start: 41.189303, end: 54.536355\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_7.wav\n", + "Start: 57.611718, end: 60.092511\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_8.wav\n", + "Start: 60.912603, end: 64.213487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_9.wav\n", + "Start: 64.623535, end: 66.960814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_10.wav\n", + "Start: 67.698894, end: 70.323202\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26959_11.wav\n", + "Start: 30.721507, end: 33.590215\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26960_1.wav\n", + "Start: 36.458901, end: 37.150624\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26960_2.wav\n", + "Start: 40.54832, end: 54.545939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26960_3.wav\n", + "Start: 55.868383, end: 60.018837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC26960_4.wav\n", + "Start: 1.467246, end: 6.739377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_1.wav\n", + "Start: 6.988069, end: 8.828341\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_2.wav\n", + "Start: 10.419931, end: 12.1856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_3.wav\n", + "Start: 12.285074, end: 14.398906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_4.wav\n", + "Start: 14.548114, end: 24.54528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_5.wav\n", + "Start: 24.818834, end: 30.513732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_6.wav\n", + "Start: 30.837029, end: 32.428616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_7.wav\n", + "Start: 32.876251, end: 39.665367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_8.wav\n", + "Start: 40.38656, end: 42.102501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_9.wav\n", + "Start: 42.798811, end: 43.072349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC364458_10.wav\n", + "Start: 1.30045, end: 5.039248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_1.wav\n", + "Start: 6.204235, end: 7.531763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_2.wav\n", + "Start: 8.642579, end: 8.899949\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_3.wav\n", + "Start: 9.333443, end: 9.577275\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_4.wav\n", + "Start: 10.20041, end: 13.546351\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_5.wav\n", + "Start: 14.833263, end: 15.646053\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_6.wav\n", + "Start: 18.599146, end: 19.560938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_7.wav\n", + "Start: 21.023944, end: 24.383445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_8.wav\n", + "Start: 28.217059, end: 29.476877\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_9.wav\n", + "Start: 30.77732, end: 31.874576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_10.wav\n", + "Start: 36.642892, end: 43.334774\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_11.wav\n", + "Start: 44.106934, end: 45.691855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_12.wav\n", + "Start: 46.436907, end: 47.926998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_13.wav\n", + "Start: 49.119086, end: 50.758179\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_14.wav\n", + "Start: 51.570976, end: 52.221203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_15.wav\n", + "Start: 54.591813, end: 56.027732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_16.wav\n", + "Start: 56.434118, end: 57.490716\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_17.wav\n", + "Start: 57.856485, end: 58.737007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC41249_18.wav\n", + "Start: 0.41003, end: 1.379446\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC470564_1.wav\n", + "Start: 4.162752, end: 4.314814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Anas strepera\\XC470564_2.wav\n", + "Ardea purpurea\n", + "Start: 0.675401, end: 1.044214\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC135429_1.wav\n", + "Start: 1.694427, end: 2.344636\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC135429_2.wav\n", + "Start: 0.528577, end: 0.62488\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC150699_1.wav\n", + "Start: 3.523844, end: 3.679535\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC150699_2.wav\n", + "Start: 4.972307, end: 5.148498\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC150699_3.wav\n", + "Start: 8.287179, end: 8.461306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC150699_4.wav\n", + "Start: 11.903216, end: 12.089656\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC150699_5.wav\n", + "Start: 13.177537, end: 13.363976\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC150699_6.wav\n", + "Start: 0.016567, end: 0.631609\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC166246_1.wav\n", + "Start: 1.635977, end: 1.969373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC166246_2.wav\n", + "Start: 2.568568, end: 2.813194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC184842_1.wav\n", + "Start: 9.806606, end: 10.051232\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC184842_2.wav\n", + "Start: 0.951909, end: 1.739388\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_1.wav\n", + "Start: 2.319195, end: 3.712445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_2.wav\n", + "Start: 6.040293, end: 6.784522\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_3.wav\n", + "Start: 7.658537, end: 8.671016\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_4.wav\n", + "Start: 9.259474, end: 10.020995\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_5.wav\n", + "Start: 10.799835, end: 11.812315\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_6.wav\n", + "Start: 12.322889, end: 12.85941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_7.wav\n", + "Start: 13.967095, end: 14.321887\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC191096_8.wav\n", + "Start: 0.076347, end: 0.735347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC205050_1.wav\n", + "Start: 1.498821, end: 3.278925\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC205050_2.wav\n", + "Start: 4.114725, end: 5.099204\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC205050_3.wav\n", + "Start: 6.300672, end: 7.007901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC205050_4.wav\n", + "Start: 2.27131, end: 4.367069\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC227072_1.wav\n", + "Start: 1.050958, end: 1.223543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC237893_1.wav\n", + "Start: 1.427913, end: 3.994693\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC265127_1.wav\n", + "Start: 0.293348, end: 0.534912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC265127_2.wav\n", + "Start: 0.845531, end: 1.082788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC265127_3.wav\n", + "Start: 4.758271, end: 5.193963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC265127_4.wav\n", + "Start: 2.036775, end: 2.800562\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC270373_1.wav\n", + "Start: 5.444456, end: 6.629331\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC270373_2.wav\n", + "Start: 9.508213, end: 10.085946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC270373_3.wav\n", + "Start: 10.595146, end: 11.554783\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC270373_4.wav\n", + "Start: 11.887715, end: 12.543792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC270373_5.wav\n", + "Start: 14.453267, end: 14.707871\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC270373_6.wav\n", + "Start: 0.689946, end: 2.468245\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC276851_1.wav\n", + "Start: 0.564768, end: 0.742851\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC277204_1.wav\n", + "Start: 4.385856, end: 4.619898\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC277204_2.wav\n", + "Start: 7.255488, end: 7.494634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC277204_3.wav\n", + "Start: 1.606755, end: 1.800201\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC279853_1.wav\n", + "Start: 7.227708, end: 7.399659\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC279853_2.wav\n", + "Start: 1.529507, end: 1.863226\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC279854_1.wav\n", + "Start: 7.730961, end: 7.999782\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC279854_2.wav\n", + "Start: 10.2616, end: 10.465522\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC279854_3.wav\n", + "Start: 13.941685, end: 14.182706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC279854_4.wav\n", + "Start: 1.021313, end: 2.673989\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC280978_1.wav\n", + "Start: 5.886477, end: 9.024686\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC280978_2.wav\n", + "Start: 17.937972, end: 20.44482\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC280978_3.wav\n", + "Start: 1.408657, end: 1.692602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC298591_1.wav\n", + "Start: 4.393005, end: 4.599014\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC298591_2.wav\n", + "Start: 8.117872, end: 8.284901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC298591_3.wav\n", + "Start: 2.401623, end: 3.615342\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_1.wav\n", + "Start: 3.976882, end: 4.932369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_2.wav\n", + "Start: 5.268077, end: 6.559279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_3.wav\n", + "Start: 11.388343, end: 11.879\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_4.wav\n", + "Start: 15.959174, end: 16.888834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_5.wav\n", + "Start: 17.960526, end: 18.670685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_6.wav\n", + "Start: 24.816774, end: 25.978837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_7.wav\n", + "Start: 27.709051, end: 28.018938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_8.wav\n", + "Start: 35.817759, end: 37.173518\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_9.wav\n", + "Start: 31.750493, end: 32.034552\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_10.wav\n", + "Start: 39.239426, end: 40.788859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_11.wav\n", + "Start: 41.524842, end: 42.674003\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_12.wav\n", + "Start: 43.590755, end: 44.507512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC299495_13.wav\n", + "Start: 0.584613, end: 0.912958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_1.wav\n", + "Start: 1.761847, end: 2.010124\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_2.wav\n", + "Start: 3.019165, end: 3.267419\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_3.wav\n", + "Start: 4.588811, end: 4.837065\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_4.wav\n", + "Start: 7.479842, end: 7.736101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_5.wav\n", + "Start: 8.68911, end: 8.945369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_6.wav\n", + "Start: 9.994479, end: 10.274751\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_7.wav\n", + "Start: 10.979512, end: 11.251802\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_8.wav\n", + "Start: 14.254946, end: 14.575286\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_9.wav\n", + "Start: 15.416163, end: 15.736503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_10.wav\n", + "Start: 16.713523, end: 17.00985\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_11.wav\n", + "Start: 18.259144, end: 18.60352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_12.wav\n", + "Start: 19.756714, end: 20.061045\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_13.wav\n", + "Start: 21.390427, end: 21.718772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_14.wav\n", + "Start: 24.105273, end: 24.441623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_15.wav\n", + "Start: 25.442676, end: 25.69093\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_16.wav\n", + "Start: 26.756053, end: 27.060361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC30134_17.wav\n", + "Start: 2.255308, end: 4.595398\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC311152_1.wav\n", + "Start: 1.344157, end: 4.612538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC311153_1.wav\n", + "Start: 5.89312, end: 14.260308\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC318091_1.wav\n", + "Start: 20.94377, end: 24.380006\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC318091_2.wav\n", + "Start: 27.060245, end: 29.89512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC318091_3.wav\n", + "Start: 0.876237, end: 2.955148\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC318091_4.wav\n", + "Start: 0.253821, end: 1.39602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_1.wav\n", + "Start: 2.58051, end: 4.54763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_2.wav\n", + "Start: 5.964785, end: 6.30322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_3.wav\n", + "Start: 6.980068, end: 7.339637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_4.wav\n", + "Start: 9.391364, end: 9.66633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_5.wav\n", + "Start: 11.971874, end: 12.352599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_6.wav\n", + "Start: 13.182804, end: 13.420763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_7.wav\n", + "Start: 14.44662, end: 14.647549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_8.wav\n", + "Start: 18.830319, end: 19.020682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_9.wav\n", + "Start: 20.43785, end: 20.659936\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_10.wav\n", + "Start: 29.845077, end: 30.1412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_11.wav\n", + "Start: 32.785166, end: 33.123579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC343737_12.wav\n", + "Start: 2.182284, end: 2.386343\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC356656_1.wav\n", + "Start: 3.619094, end: 3.877302\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC356656_2.wav\n", + "Start: 4.672754, end: 5.005928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC356656_3.wav\n", + "Start: 5.468205, end: 5.68893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC356656_4.wav\n", + "Start: 6.451066, end: 6.667619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC356656_5.wav\n", + "Start: 1.15309, end: 1.307829\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC362363_1.wav\n", + "Start: 0.0, end: 6.830385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC369056_1.wav\n", + "Start: 12.675239, end: 14.632654\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC369056_2.wav\n", + "Start: 19.122364, end: 19.888917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC369056_3.wav\n", + "Start: 0.857115, end: 1.037727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC374911_1.wav\n", + "Start: 2.719123, end: 2.916175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC374911_2.wav\n", + "Start: 9.461103, end: 9.592464\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC374911_3.wav\n", + "Start: 1.846245, end: 2.582745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC380536_1.wav\n", + "Start: 2.062821, end: 2.193737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC380537_1.wav\n", + "Start: 0.493303, end: 1.847636\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC381813_1.wav\n", + "Start: 2.529298, end: 3.722194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC381813_2.wav\n", + "Start: 12.942473, end: 13.193598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC381813_3.wav\n", + "Start: 5.712645, end: 6.521415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_1.wav\n", + "Start: 2.825609, end: 3.091797\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_2.wav\n", + "Start: 8.947762, end: 9.326554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_3.wav\n", + "Start: 11.230773, end: 11.48671\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_4.wav\n", + "Start: 14.035906, end: 14.261135\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_5.wav\n", + "Start: 16.646523, end: 16.92294\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_6.wav\n", + "Start: 19.420944, end: 19.646173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_7.wav\n", + "Start: 27.088992, end: 27.959179\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC431154_8.wav\n", + "Start: 0.23664, end: 0.395744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_1.wav\n", + "Start: 2.92944, end: 3.100794\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_2.wav\n", + "Start: 5.27544, end: 5.438648\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_3.wav\n", + "Start: 5.66304, end: 5.911915\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_4.wav\n", + "Start: 6.40152, end: 6.560645\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_5.wav\n", + "Start: 7.0584, end: 7.221608\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_6.wav\n", + "Start: 8.54352, end: 8.73527\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_7.wav\n", + "Start: 9.62064, end: 9.967432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_8.wav\n", + "Start: 10.41216, end: 10.599827\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_9.wav\n", + "Start: 10.90992, end: 11.077212\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_10.wav\n", + "Start: 13.16616, end: 13.586389\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_11.wav\n", + "Start: 11.91768, end: 12.390951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_12.wav\n", + "Start: 14.93688, end: 15.136797\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_13.wav\n", + "Start: 15.50808, end: 15.789601\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_14.wav\n", + "Start: 16.3812, end: 16.560721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_15.wav\n", + "Start: 17.31144, end: 17.707211\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_16.wav\n", + "Start: 17.98872, end: 18.376303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_17.wav\n", + "Start: 20.502, end: 20.995687\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_18.wav\n", + "Start: 21.5016, end: 22.427746\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_19.wav\n", + "Start: 25.25112, end: 26.018162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_20.wav\n", + "Start: 26.22216, end: 26.487347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_21.wav\n", + "Start: 26.78928, end: 27.017759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432145_22.wav\n", + "Start: 1.520037, end: 1.73987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC432223_1.wav\n", + "Start: 0.726706, end: 1.025935\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC44631_1.wav\n", + "Start: 2.258489, end: 2.564864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC44631_2.wav\n", + "Start: 6.027387, end: 6.362242\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC44631_3.wav\n", + "Start: 12.289886, end: 12.589115\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC44631_4.wav\n", + "Start: 17.818553, end: 18.060782\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC44631_5.wav\n", + "Start: 23.382843, end: 23.575218\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC44631_6.wav\n", + "Start: 1.055847, end: 1.274895\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC459832_1.wav\n", + "Start: 3.022964, end: 3.277069\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC459832_2.wav\n", + "Start: 13.984496, end: 14.260505\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC459832_3.wav\n", + "Start: 1.296509, end: 1.549072\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_1.wav\n", + "Start: 4.029843, end: 4.338528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_2.wav\n", + "Start: 6.35907, end: 6.634081\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_3.wav\n", + "Start: 7.582616, end: 7.818352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_4.wav\n", + "Start: 10.781795, end: 11.101726\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_5.wav\n", + "Start: 12.516086, end: 13.077356\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_6.wav\n", + "Start: 14.620809, end: 15.238179\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_7.wav\n", + "Start: 17.657223, end: 17.904162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_8.wav\n", + "Start: 18.594526, end: 18.891987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC467373_9.wav\n", + "Start: 1.057317, end: 1.432941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC469976_1.wav\n", + "Start: 6.503893, end: 6.789085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC469976_2.wav\n", + "Start: 11.046184, end: 11.303553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC469976_3.wav\n", + "Start: 0.641392, end: 0.834385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_1.wav\n", + "Start: 2.383935, end: 2.71881\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_2.wav\n", + "Start: 3.485085, end: 3.717807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_3.wav\n", + "Start: 5.545486, end: 5.715758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_4.wav\n", + "Start: 8.264307, end: 8.741087\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_5.wav\n", + "Start: 11.885617, end: 12.402125\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_6.wav\n", + "Start: 13.24219, end: 13.423822\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_7.wav\n", + "Start: 19.338251, end: 19.508523\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC471545_8.wav\n", + "Start: 3.180774, end: 3.653858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC472589_1.wav\n", + "Start: 4.064668, end: 4.817843\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC472589_2.wav\n", + "Start: 5.826232, end: 7.382377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC472589_3.wav\n", + "Start: 2.552089, end: 2.788619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC472589_4.wav\n", + "Start: 1.179436, end: 1.413382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC480203_1.wav\n", + "Start: 7.403162, end: 7.549375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC480203_2.wav\n", + "Start: 6.498161, end: 6.80061\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC481289_1.wav\n", + "Start: 7.478842, end: 7.753808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC481289_2.wav\n", + "Start: 8.367871, end: 8.651998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC481289_3.wav\n", + "Start: 1.017641, end: 1.349228\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485245_1.wav\n", + "Start: 2.767065, end: 3.012893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485245_2.wav\n", + "Start: 8.547038, end: 8.752865\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485245_3.wav\n", + "Start: 15.516167, end: 15.716258\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485245_4.wav\n", + "Start: 18.420446, end: 18.614823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485245_5.wav\n", + "Start: 3.567573, end: 3.787527\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485377_1.wav\n", + "Start: 6.365265, end: 6.578371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485377_2.wav\n", + "Start: 9.932837, end: 10.13218\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485377_3.wav\n", + "Start: 13.30794, end: 13.500411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485377_4.wav\n", + "Start: 18.532131, end: 18.752086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485377_5.wav\n", + "Start: 20.669925, end: 20.883009\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC485377_6.wav\n", + "Start: 0.372864, end: 0.972114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_1.wav\n", + "Start: 1.744471, end: 2.010804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_2.wav\n", + "Start: 2.783163, end: 3.089434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_3.wav\n", + "Start: 4.327886, end: 4.634157\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_4.wav\n", + "Start: 7.03115, end: 8.189691\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_5.wav\n", + "Start: 8.882153, end: 9.21507\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_6.wav\n", + "Start: 10.373609, end: 10.639942\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_7.wav\n", + "Start: 12.743959, end: 13.369834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_8.wav\n", + "Start: 17.018578, end: 17.990682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_9.wav\n", + "Start: 21.679378, end: 22.371837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ardea purpurea\\XC515865_10.wav\n", + "Botaurus stellaris\n", + "Start: 2.303597, end: 2.825343\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_1.wav\n", + "Start: 4.144506, end: 5.463644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_2.wav\n", + "Start: 7.156902, end: 8.042911\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_3.wav\n", + "Start: 10.051165, end: 10.819033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_4.wav\n", + "Start: 21.116306, end: 21.766033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_5.wav\n", + "Start: 26.008988, end: 26.530757\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_6.wav\n", + "Start: 29.021384, end: 29.444695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_7.wav\n", + "Start: 33.323401, end: 33.943605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_8.wav\n", + "Start: 35.67622, end: 36.286583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_9.wav\n", + "Start: 38.137328, end: 38.767373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_10.wav\n", + "Start: 41.021746, end: 41.730544\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_11.wav\n", + "Start: 52.884286, end: 53.494649\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_12.wav\n", + "Start: 55.394616, end: 56.142779\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_13.wav\n", + "Start: 58.200279, end: 58.820483\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_14.wav\n", + "Start: 63.949427, end: 64.579472\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC100296_15.wav\n", + "Start: 4.023424, end: 4.614218\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC120378_1.wav\n", + "Start: 5.818261, end: 6.872728\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC120378_2.wav\n", + "Start: 8.061806, end: 9.123733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC120378_3.wav\n", + "Start: 10.574576, end: 11.591651\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC120378_4.wav\n", + "Start: 8.49781, end: 9.464706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_1.wav\n", + "Start: 10.40437, end: 11.330412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_2.wav\n", + "Start: 12.065801, end: 13.059947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_3.wav\n", + "Start: 14.040453, end: 15.020973\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_4.wav\n", + "Start: 16.219378, end: 17.104566\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_5.wav\n", + "Start: 172.707099, end: 173.592287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_6.wav\n", + "Start: 174.586423, end: 175.458006\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_7.wav\n", + "Start: 176.27509, end: 177.241986\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_8.wav\n", + "Start: 178.372306, end: 179.352806\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_9.wav\n", + "Start: 180.878071, end: 181.9403\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC171445_10.wav\n", + "Start: 0.845568, end: 1.489818\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC172692_1.wav\n", + "Start: 0.513105, end: 1.136869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC180756_1.wav\n", + "Start: 2.203332, end: 3.159114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC180756_2.wav\n", + "Start: 4.205446, end: 5.181364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC180756_3.wav\n", + "Start: 6.247803, end: 7.213653\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC180756_4.wav\n", + "Start: 8.662413, end: 9.366676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC180756_5.wav\n", + "Start: 11.15751, end: 11.730979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC180756_6.wav\n", + "Start: 6.396209, end: 7.264122\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184313_1.wav\n", + "Start: 8.301864, end: 9.179233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184313_2.wav\n", + "Start: 10.367896, end: 11.292431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184313_3.wav\n", + "Start: 0.53451, end: 0.835168\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184314_1.wav\n", + "Start: 2.449838, end: 2.767208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184314_2.wav\n", + "Start: 4.48209, end: 4.782747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184314_3.wav\n", + "Start: 7.021013, end: 7.288269\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184314_4.wav\n", + "Start: 2.097216, end: 2.835997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_1.wav\n", + "Start: 3.944185, end: 4.92131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_2.wav\n", + "Start: 5.993737, end: 7.042331\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_3.wav\n", + "Start: 8.198197, end: 9.151478\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_4.wav\n", + "Start: 10.474153, end: 11.391685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_5.wav\n", + "Start: 146.483388, end: 147.377107\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_6.wav\n", + "Start: 148.53294, end: 149.581565\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_7.wav\n", + "Start: 150.665904, end: 151.607279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_8.wav\n", + "Start: 152.870364, end: 153.811708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_9.wav\n", + "Start: 155.56338, end: 156.433255\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC184429_10.wav\n", + "Start: 1.358367, end: 2.755556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_1.wav\n", + "Start: 6.364921, end: 7.52923\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_2.wav\n", + "Start: 3.997481, end: 5.317028\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_3.wav\n", + "Start: 8.732362, end: 10.090729\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_4.wav\n", + "Start: 13.845644, end: 14.806211\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_5.wav\n", + "Start: 16.707918, end: 17.649075\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_6.wav\n", + "Start: 46.572595, end: 47.630191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_7.wav\n", + "Start: 49.007953, end: 50.036434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_8.wav\n", + "Start: 51.423907, end: 52.365063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_9.wav\n", + "Start: 53.80105, end: 55.013884\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_10.wav\n", + "Start: 56.314029, end: 57.167861\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_11.wav\n", + "Start: 59.021061, end: 59.971923\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_12.wav\n", + "Start: 61.999767, end: 62.766275\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_13.wav\n", + "Start: 80.221294, end: 81.502043\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_14.wav\n", + "Start: 82.967137, end: 83.976207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_15.wav\n", + "Start: 85.373388, end: 86.333955\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_16.wav\n", + "Start: 87.808746, end: 88.701377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_17.wav\n", + "Start: 90.253808, end: 91.088229\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_18.wav\n", + "Start: 92.931732, end: 93.785564\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_19.wav\n", + "Start: 95.968653, end: 96.870989\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_20.wav\n", + "Start: 119.196735, end: 120.564807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_21.wav\n", + "Start: 121.496257, end: 122.447118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_22.wav\n", + "Start: 126.434892, end: 126.910312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC214099_23.wav\n", + "Start: 1.826571, end: 2.021424\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_1.wav\n", + "Start: 3.935414, end: 4.771287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_2.wav\n", + "Start: 2.616932, end: 3.527476\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_3.wav\n", + "Start: 5.426901, end: 6.421233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_4.wav\n", + "Start: 7.167881, end: 8.162189\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_5.wav\n", + "Start: 8.741318, end: 9.520751\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_6.wav\n", + "Start: 10.47137, end: 11.290871\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC215785_7.wav\n", + "Start: 0.402853, end: 1.275687\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216709_1.wav\n", + "Start: 2.11756, end: 3.031733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216709_2.wav\n", + "Start: 5.402361, end: 6.223563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216709_3.wav\n", + "Start: 7.08608, end: 7.902112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216709_4.wav\n", + "Start: 3.301997, end: 3.508369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_1.wav\n", + "Start: 4.058705, end: 4.296823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_2.wav\n", + "Start: 4.751912, end: 5.646221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_3.wav\n", + "Start: 6.519327, end: 7.657037\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_4.wav\n", + "Start: 8.239117, end: 9.133403\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_5.wav\n", + "Start: 9.937741, end: 10.773841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_6.wav\n", + "Start: 11.678698, end: 12.59414\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_7.wav\n", + "Start: 13.779487, end: 14.806086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC216710_8.wav\n", + "Start: 3.865104, end: 4.489292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_1.wav\n", + "Start: 5.713632, end: 6.709924\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_2.wav\n", + "Start: 7.706201, end: 8.786493\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_3.wav\n", + "Start: 9.938839, end: 10.971131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_4.wav\n", + "Start: 12.267504, end: 13.275796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_5.wav\n", + "Start: 70.280074, end: 71.252345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_6.wav\n", + "Start: 72.320657, end: 73.328928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_7.wav\n", + "Start: 74.39725, end: 75.369521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_8.wav\n", + "Start: 76.533861, end: 77.530152\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_9.wav\n", + "Start: 79.114598, end: 80.158889\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC234105_10.wav\n", + "Start: 11.392731, end: 12.379126\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC237486_1.wav\n", + "Start: 12.921626, end: 14.475164\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC237486_2.wav\n", + "Start: 15.165649, end: 16.595898\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC237486_3.wav\n", + "Start: 17.631608, end: 19.111177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC237486_4.wav\n", + "Start: 3.704581, end: 4.919593\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_1.wav\n", + "Start: 5.801064, end: 7.027981\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_2.wav\n", + "Start: 7.90946, end: 8.957714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_3.wav\n", + "Start: 9.779618, end: 10.815944\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_4.wav\n", + "Start: 11.685512, end: 12.686101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_5.wav\n", + "Start: 13.662877, end: 14.687299\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_6.wav\n", + "Start: 15.926126, end: 17.045831\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC25558_7.wav\n", + "Start: 6.856919, end: 7.449118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280964_1.wav\n", + "Start: 9.202297, end: 9.623068\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280964_2.wav\n", + "Start: 11.539883, end: 11.867139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280964_3.wav\n", + "Start: 2.088243, end: 2.586928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280964_4.wav\n", + "Start: 7.357485, end: 8.310251\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280965_1.wav\n", + "Start: 9.289486, end: 10.21579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280965_2.wav\n", + "Start: 11.14209, end: 12.121319\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280965_3.wav\n", + "Start: 37.475534, end: 38.481226\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280965_4.wav\n", + "Start: 39.275207, end: 40.254436\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280965_5.wav\n", + "Start: 41.180742, end: 42.212896\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280965_6.wav\n", + "Start: 13.64586, end: 14.666041\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280966_1.wav\n", + "Start: 11.118849, end: 12.298123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280966_2.wav\n", + "Start: 9.087881, end: 10.154819\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280966_3.wav\n", + "Start: 7.48744, end: 8.376579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC280966_4.wav\n", + "Start: 8.236781, end: 8.708777\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC293293_1.wav\n", + "Start: 13.669355, end: 14.23389\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC293293_2.wav\n", + "Start: 10.837383, end: 11.485206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC293293_3.wav\n", + "Start: 2.92561, end: 3.41731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_1.wav\n", + "Start: 4.892406, end: 5.396397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_2.wav\n", + "Start: 6.89608, end: 7.412361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_3.wav\n", + "Start: 8.936629, end: 9.514384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_4.wav\n", + "Start: 11.12469, end: 11.727025\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_5.wav\n", + "Start: 13.798307, end: 14.425223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_6.wav\n", + "Start: 69.624596, end: 70.177748\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_7.wav\n", + "Start: 71.566808, end: 72.181434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_8.wav\n", + "Start: 73.558189, end: 74.07447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_9.wav\n", + "Start: 75.574156, end: 76.188781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_10.wav\n", + "Start: 77.737632, end: 78.315364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC299191_11.wav\n", + "Start: 4.963474, end: 5.968891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC309607_1.wav\n", + "Start: 7.648841, end: 8.597008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC309607_2.wav\n", + "Start: 0.371438, end: 0.654584\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC310507_1.wav\n", + "Start: 2.359543, end: 2.670085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC310507_2.wav\n", + "Start: 3.565714, end: 4.155443\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_1.wav\n", + "Start: 5.499429, end: 6.356554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_2.wav\n", + "Start: 7.789714, end: 8.50286\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_3.wav\n", + "Start: 9.984, end: 10.656\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_4.wav\n", + "Start: 12.178286, end: 12.966848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_5.wav\n", + "Start: 15.147429, end: 15.881137\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_6.wav\n", + "Start: 81.394286, end: 82.367994\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_7.wav\n", + "Start: 83.862857, end: 84.658295\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_8.wav\n", + "Start: 85.926866, end: 86.845699\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_9.wav\n", + "Start: 88.333714, end: 89.026298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_10.wav\n", + "Start: 90.685714, end: 91.39886\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC314697_11.wav\n", + "Start: 0.389889, end: 0.85066\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_1.wav\n", + "Start: 2.687869, end: 3.249071\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_2.wav\n", + "Start: 5.127628, end: 5.68883\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_3.wav\n", + "Start: 7.726886, end: 8.270355\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_4.wav\n", + "Start: 19.021845, end: 19.512162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_5.wav\n", + "Start: 23.730047, end: 24.190818\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_6.wav\n", + "Start: 26.553787, end: 26.967301\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_7.wav\n", + "Start: 32.951506, end: 33.447742\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_8.wav\n", + "Start: 35.119524, end: 35.657098\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_9.wav\n", + "Start: 37.464764, end: 38.008256\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_10.wav\n", + "Start: 40.211708, end: 40.784723\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC315733_11.wav\n", + "Start: 2.936089, end: 3.5233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317323_1.wav\n", + "Start: 5.417557, end: 6.004791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317323_2.wav\n", + "Start: 0.599846, end: 1.079733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317323_3.wav\n", + "Start: 8.221048, end: 8.884041\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317323_4.wav\n", + "Start: 2.636815, end: 3.552983\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_1.wav\n", + "Start: 4.290411, end: 5.318325\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_2.wav\n", + "Start: 6.212157, end: 7.240071\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_3.wav\n", + "Start: 8.078039, end: 9.061236\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_4.wav\n", + "Start: 9.943921, end: 10.804238\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_5.wav\n", + "Start: 11.787457, end: 12.725983\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_6.wav\n", + "Start: 13.88797, end: 14.848854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_7.wav\n", + "Start: 85.852906, end: 86.903156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_8.wav\n", + "Start: 87.752307, end: 88.780221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_9.wav\n", + "Start: 89.58467, end: 90.523196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_10.wav\n", + "Start: 91.238266, end: 92.221463\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_11.wav\n", + "Start: 93.048283, end: 93.919779\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_12.wav\n", + "Start: 94.835954, end: 95.819174\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_13.wav\n", + "Start: 97.405731, end: 98.076094\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC317421_14.wav\n", + "Start: 1.800807, end: 2.770467\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_1.wav\n", + "Start: 4.0345, end: 4.779035\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_2.wav\n", + "Start: 6.025748, end: 6.675045\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_3.wav\n", + "Start: 8.103602, end: 8.701017\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_4.wav\n", + "Start: 44.881651, end: 45.678159\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_5.wav\n", + "Start: 47.080714, end: 47.738673\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_6.wav\n", + "Start: 49.071991, end: 49.833895\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_7.wav\n", + "Start: 51.184476, end: 51.877084\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_8.wav\n", + "Start: 108.559226, end: 109.269158\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_9.wav\n", + "Start: 110.602449, end: 111.407619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_10.wav\n", + "Start: 112.550437, end: 113.191118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_11.wav\n", + "Start: 114.515741, end: 115.095832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_12.wav\n", + "Start: 116.714803, end: 117.303556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC326162_13.wav\n", + "Start: 1.69166, end: 2.913429\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC340916_1.wav\n", + "Start: 3.994197, end: 5.286442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC340916_2.wav\n", + "Start: 6.378968, end: 7.506745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC340916_3.wav\n", + "Start: 8.787234, end: 9.856259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC340916_4.wav\n", + "Start: 11.84162, end: 12.523003\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC340916_5.wav\n", + "Start: 0.978696, end: 1.339626\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354109_1.wav\n", + "Start: 2.776443, end: 3.255377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354109_2.wav\n", + "Start: 4.69913, end: 5.164187\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354109_3.wav\n", + "Start: 6.656522, end: 7.149334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354109_4.wav\n", + "Start: 8.745796, end: 9.363551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354109_5.wav\n", + "Start: 1.686644, end: 2.096486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354111_1.wav\n", + "Start: 3.247185, end: 4.405756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354111_2.wav\n", + "Start: 5.580113, end: 6.533787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354111_3.wav\n", + "Start: 7.755412, end: 8.716954\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354111_4.wav\n", + "Start: 11.026241, end: 11.577942\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC354111_5.wav\n", + "Start: 8.988496, end: 9.552668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361803_1.wav\n", + "Start: 10.629762, end: 11.668379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361803_2.wav\n", + "Start: 12.617232, end: 13.668661\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361803_3.wav\n", + "Start: 14.784216, end: 15.733083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361803_4.wav\n", + "Start: 16.925556, end: 18.053923\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361803_5.wav\n", + "Start: 20.015752, end: 21.003076\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361803_6.wav\n", + "Start: 0.883521, end: 1.569008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_1.wav\n", + "Start: 2.87906, end: 3.579763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_2.wav\n", + "Start: 4.905064, end: 5.60579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_3.wav\n", + "Start: 6.763505, end: 7.982145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_4.wav\n", + "Start: 13.740274, end: 14.440999\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_5.wav\n", + "Start: 15.857677, end: 16.680262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_6.wav\n", + "Start: 18.477774, end: 19.163262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_7.wav\n", + "Start: 22.179422, end: 23.017222\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_8.wav\n", + "Start: 24.205427, end: 24.936629\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_9.wav\n", + "Start: 44.297912, end: 45.120497\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_10.wav\n", + "Start: 46.400082, end: 47.192191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_11.wav\n", + "Start: 48.380388, end: 49.324832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_12.wav\n", + "Start: 48.380388, end: 49.324832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361804_13.wav\n", + "Start: 0.981607, end: 1.406958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361806_1.wav\n", + "Start: 6.650387, end: 7.648347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361806_2.wav\n", + "Start: 2.879381, end: 3.558315\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361806_3.wav\n", + "Start: 4.916215, end: 5.554265\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361806_4.wav\n", + "Start: 8.752662, end: 9.873343\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361806_5.wav\n", + "Start: 11.877445, end: 12.88359\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC361806_6.wav\n", + "Start: 1.959631, end: 2.792466\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC362697_1.wav\n", + "Start: 3.804951, end: 4.801096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC362697_2.wav\n", + "Start: 5.846234, end: 6.842379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC362697_3.wav\n", + "Start: 7.822196, end: 8.891833\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC362697_4.wav\n", + "Start: 10.010451, end: 10.990269\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC362697_5.wav\n", + "Start: 12.435495, end: 13.61944\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC362697_6.wav\n", + "Start: 3.682064, end: 4.719955\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_1.wav\n", + "Start: 5.943197, end: 7.018163\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_2.wav\n", + "Start: 8.105482, end: 9.155732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_3.wav\n", + "Start: 10.267768, end: 11.293301\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_4.wav\n", + "Start: 12.034664, end: 13.097272\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_5.wav\n", + "Start: 25.267853, end: 26.330461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_6.wav\n", + "Start: 41.355259, end: 42.491993\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_7.wav\n", + "Start: 139.053505, end: 139.856635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_8.wav\n", + "Start: 159.601398, end: 160.775207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_9.wav\n", + "Start: 161.689548, end: 162.702745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_10.wav\n", + "Start: 14.505848, end: 15.568456\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_11.wav\n", + "Start: 27.405427, end: 28.492751\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_12.wav\n", + "Start: 29.543001, end: 30.692116\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_13.wav\n", + "Start: 39.143549, end: 40.218493\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_14.wav\n", + "Start: 43.604036, end: 44.654285\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_15.wav\n", + "Start: 45.618051, end: 46.730091\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_16.wav\n", + "Start: 47.854472, end: 48.929438\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_17.wav\n", + "Start: 50.177384, end: 51.301761\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_18.wav\n", + "Start: 61.841371, end: 63.002845\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_19.wav\n", + "Start: 70.737633, end: 71.763166\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_20.wav\n", + "Start: 72.92463, end: 74.086081\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_21.wav\n", + "Start: 74.988069, end: 76.211311\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_22.wav\n", + "Start: 77.150354, end: 78.064685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_23.wav\n", + "Start: 79.31264, end: 80.350554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_24.wav\n", + "Start: 81.598485, end: 82.698167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_25.wav\n", + "Start: 84.539193, end: 85.453547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_26.wav\n", + "Start: 86.417293, end: 87.529311\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_27.wav\n", + "Start: 88.604291, end: 89.666898\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_28.wav\n", + "Start: 95.362978, end: 96.475019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_29.wav\n", + "Start: 104.172748, end: 105.27243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_30.wav\n", + "Start: 106.347389, end: 107.348206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_31.wav\n", + "Start: 108.484963, end: 109.547571\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_32.wav\n", + "Start: 117.986664, end: 119.160474\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_33.wav\n", + "Start: 120.260153, end: 121.409246\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_34.wav\n", + "Start: 122.471863, end: 123.571545\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_35.wav\n", + "Start: 124.560013, end: 125.672031\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_36.wav\n", + "Start: 126.722299, end: 127.809623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_37.wav\n", + "Start: 129.045211, end: 130.219021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_38.wav\n", + "Start: 140.931605, end: 142.117773\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_39.wav\n", + "Start: 143.180382, end: 144.267706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_40.wav\n", + "Start: 145.355024, end: 146.4794\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_41.wav\n", + "Start: 157.290841, end: 158.365807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_42.wav\n", + "Start: 163.40702, end: 164.494322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_43.wav\n", + "Start: 167.608033, end: 168.645946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC363294_44.wav\n", + "Start: 2.788389, end: 3.861305\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC367219_1.wav\n", + "Start: 4.782693, end: 5.776818\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC367219_2.wav\n", + "Start: 6.698194, end: 7.765069\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC367219_3.wav\n", + "Start: 9.274423, end: 9.741173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC367219_4.wav\n", + "Start: 5.150451, end: 6.330293\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC372105_1.wav\n", + "Start: 7.373994, end: 8.826103\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC372105_2.wav\n", + "Start: 10.142078, end: 11.389969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC372105_3.wav\n", + "Start: 29.064882, end: 30.051866\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC372105_4.wav\n", + "Start: 31.27708, end: 32.513656\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC372105_5.wav\n", + "Start: 33.750204, end: 34.964082\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC372105_6.wav\n", + "Start: 3.388156, end: 4.248224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC37543_1.wav\n", + "Start: 11.610951, end: 12.379794\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC37543_2.wav\n", + "Start: 13.344123, end: 14.15206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC37543_3.wav\n", + "Start: 15.181546, end: 15.989506\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC37543_4.wav\n", + "Start: 17.045032, end: 17.9051\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC37543_5.wav\n", + "Start: 19.064895, end: 19.964056\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC37543_6.wav\n", + "Start: 38.333829, end: 39.259912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396412_1.wav\n", + "Start: 42.41771, end: 43.283064\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396412_2.wav\n", + "Start: 44.965851, end: 46.260518\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396413_1.wav\n", + "Start: 47.08152, end: 48.218291\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396413_2.wav\n", + "Start: 49.07088, end: 50.176088\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396413_3.wav\n", + "Start: 1.371977, end: 1.786081\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396414_1.wav\n", + "Start: 3.397557, end: 4.404244\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396416_1.wav\n", + "Start: 5.438887, end: 6.333699\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396416_2.wav\n", + "Start: 7.731888, end: 8.500867\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC396416_3.wav\n", + "Start: 5.241208, end: 6.387013\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC414856_1.wav\n", + "Start: 7.498785, end: 8.64459\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC414856_2.wav\n", + "Start: 9.676949, end: 10.754704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC414856_3.wav\n", + "Start: 11.979904, end: 12.966889\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC414856_4.wav\n", + "Start: 3.047307, end: 3.678871\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_1.wav\n", + "Start: 4.799903, end: 5.463032\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_2.wav\n", + "Start: 6.663023, end: 7.310393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_3.wav\n", + "Start: 8.336674, end: 9.047195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_4.wav\n", + "Start: 10.199794, end: 10.815576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_5.wav\n", + "Start: 12.110282, end: 12.805021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_6.wav\n", + "Start: 14.38392, end: 15.015484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_7.wav\n", + "Start: 95.42965, end: 96.155931\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_8.wav\n", + "Start: 97.213824, end: 97.892759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_9.wav\n", + "Start: 99.013788, end: 99.787461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_10.wav\n", + "Start: 100.813752, end: 101.524273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_11.wav\n", + "Start: 102.724239, end: 103.387391\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_12.wav\n", + "Start: 104.918932, end: 105.455757\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC417089_13.wav\n", + "Start: 23.840631, end: 25.121492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42540_1.wav\n", + "Start: 25.98918, end: 27.745211\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42540_2.wav\n", + "Start: 28.57157, end: 30.141661\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42540_3.wav\n", + "Start: 31.112643, end: 32.827337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42540_4.wav\n", + "Start: 5.435246, end: 6.84028\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_1.wav\n", + "Start: 7.579764, end: 9.354526\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_2.wav\n", + "Start: 10.315875, end: 11.905784\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_3.wav\n", + "Start: 12.867112, end: 14.456999\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_4.wav\n", + "Start: 22.221651, end: 23.293896\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_5.wav\n", + "Start: 24.588016, end: 25.956066\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_6.wav\n", + "Start: 27.176229, end: 28.655208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_7.wav\n", + "Start: 29.83839, end: 31.317369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_8.wav\n", + "Start: 32.722398, end: 34.275323\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_9.wav\n", + "Start: 53.354147, end: 54.574305\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_10.wav\n", + "Start: 55.609589, end: 57.162514\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_11.wav\n", + "Start: 58.234776, end: 59.787701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_12.wav\n", + "Start: 60.896937, end: 62.246506\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42541_13.wav\n", + "Start: 1.951571, end: 3.057467\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_1.wav\n", + "Start: 3.870616, end: 5.65955\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_2.wav\n", + "Start: 6.667867, end: 8.261654\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_3.wav\n", + "Start: 9.62775, end: 11.221536\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_4.wav\n", + "Start: 12.392475, end: 14.148892\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_5.wav\n", + "Start: 28.655565, end: 29.761461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_6.wav\n", + "Start: 30.834819, end: 32.33101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_7.wav\n", + "Start: 33.274269, end: 34.770482\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_8.wav\n", + "Start: 36.006482, end: 37.437639\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_9.wav\n", + "Start: 38.966365, end: 40.299925\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_10.wav\n", + "Start: 44.609657, end: 46.284759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_11.wav\n", + "Start: 47.358119, end: 48.789276\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_12.wav\n", + "Start: 49.911424, end: 51.456413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_13.wav\n", + "Start: 53.082727, end: 54.595199\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC42542_14.wav\n", + "Start: 5.028049, end: 5.792924\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC463331_1.wav\n", + "Start: 7.034253, end: 8.237972\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC463331_2.wav\n", + "Start: 9.692473, end: 10.670501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC463331_3.wav\n", + "Start: 12.150073, end: 13.266037\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC463331_4.wav\n", + "Start: 15.372539, end: 16.726734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC463331_5.wav\n", + "Start: 18.833241, end: 19.322243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC463331_6.wav\n", + "Start: 5.453938, end: 7.106647\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC466883_1.wav\n", + "Start: 8.581371, end: 9.687413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC466883_2.wav\n", + "Start: 11.022295, end: 12.179191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC466883_3.wav\n", + "Start: 13.641202, end: 14.734536\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC466883_4.wav\n", + "Start: 3.662125, end: 4.823281\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_1.wav\n", + "Start: 86.247505, end: 87.67662\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_2.wav\n", + "Start: 5.895128, end: 7.199209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_3.wav\n", + "Start: 8.306771, end: 9.628698\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_4.wav\n", + "Start: 10.718414, end: 11.951022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_5.wav\n", + "Start: 13.201513, end: 14.61276\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_6.wav\n", + "Start: 15.595292, end: 17.006562\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_7.wav\n", + "Start: 39.997548, end: 42.427049\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_8.wav\n", + "Start: 43.641809, end: 44.928022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_9.wav\n", + "Start: 46.071316, end: 47.250341\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_10.wav\n", + "Start: 48.518687, end: 49.8049\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_11.wav\n", + "Start: 51.001787, end: 52.341583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_12.wav\n", + "Start: 78.19083, end: 80.423823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_13.wav\n", + "Start: 81.549266, end: 82.835457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_14.wav\n", + "Start: 83.925182, end: 85.229241\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_15.wav\n", + "Start: 88.89138, end: 90.284781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_16.wav\n", + "Start: 106.630355, end: 108.952668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_17.wav\n", + "Start: 112.561211, end: 113.829556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_18.wav\n", + "Start: 110.131704, end: 111.489368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_19.wav\n", + "Start: 114.990718, end: 116.223326\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_20.wav\n", + "Start: 117.491681, end: 118.867214\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_21.wav\n", + "Start: 120.742934, end: 122.172072\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519898_22.wav\n", + "Start: 0.436484, end: 1.477912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519899_1.wav\n", + "Start: 4.609881, end: 5.582398\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519899_2.wav\n", + "Start: 2.534669, end: 3.637367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519899_3.wav\n", + "Start: 6.585544, end: 7.626995\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519899_4.wav\n", + "Start: 8.645441, end: 9.717504\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519899_5.wav\n", + "Start: 10.958039, end: 12.022438\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC519899_6.wav\n", + "Start: 22.644715, end: 23.116166\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_1.wav\n", + "Start: 24.810475, end: 25.26721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_2.wav\n", + "Start: 26.858371, end: 27.44769\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_3.wav\n", + "Start: 29.097796, end: 29.628181\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_4.wav\n", + "Start: 88.722495, end: 89.326554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_5.wav\n", + "Start: 90.785123, end: 91.286053\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_6.wav\n", + "Start: 92.877218, end: 93.333953\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_7.wav\n", + "Start: 95.131376, end: 95.573372\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC524288_8.wav\n", + "Start: 4.548501, end: 5.560111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC544685_1.wav\n", + "Start: 6.871458, end: 7.643295\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC544685_2.wav\n", + "Start: 8.774784, end: 9.741428\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC544685_3.wav\n", + "Start: 11.442439, end: 12.528969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC544685_4.wav\n", + "Start: 16.373715, end: 17.216912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC548542_1.wav\n", + "Start: 18.04179, end: 18.990384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC548542_2.wav\n", + "Start: 19.806101, end: 20.773039\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC548542_3.wav\n", + "Start: 21.652898, end: 22.57859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC548542_4.wav\n", + "Start: 24.058776, end: 24.498707\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC548542_5.wav\n", + "Start: 4.692547, end: 5.882683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC88896_1.wav\n", + "Start: 7.412864, end: 8.569009\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC88896_2.wav\n", + "Start: 51.226973, end: 51.992053\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC88896_3.wav\n", + "Start: 53.182201, end: 54.372337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC88896_4.wav\n", + "Start: 56.327568, end: 57.67072\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC88896_5.wav\n", + "Start: 2.378188, end: 3.227553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_1.wav\n", + "Start: 4.522803, end: 5.393393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_2.wav\n", + "Start: 6.794822, end: 7.835276\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_3.wav\n", + "Start: 9.831258, end: 10.468288\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_4.wav\n", + "Start: 35.333075, end: 36.246114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_5.wav\n", + "Start: 37.30782, end: 38.390746\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_6.wav\n", + "Start: 39.664774, end: 40.768924\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_7.wav\n", + "Start: 42.170365, end: 43.486873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_8.wav\n", + "Start: 63.340483, end: 64.338487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_9.wav\n", + "Start: 65.421412, end: 66.504337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_10.wav\n", + "Start: 67.650948, end: 68.776345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_11.wav\n", + "Start: 70.241474, end: 71.409343\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Botaurus stellaris\\XC90713_12.wav\n", + "Charadrius alexandrinus\n", + "Start: 0.184708, end: 0.39752\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_1.wav\n", + "Start: 1.822989, end: 2.031787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_2.wav\n", + "Start: 3.449223, end: 3.666048\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_3.wav\n", + "Start: 6.181693, end: 6.362373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_4.wav\n", + "Start: 9.765437, end: 9.998317\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_5.wav\n", + "Start: 10.733147, end: 10.901787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_6.wav\n", + "Start: 11.716918, end: 11.933744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_7.wav\n", + "Start: 14.017739, end: 14.226537\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_8.wav\n", + "Start: 19.354197, end: 19.558982\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_9.wav\n", + "Start: 21.93208, end: 22.096706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_10.wav\n", + "Start: 23.313375, end: 23.526187\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_11.wav\n", + "Start: 26.148243, end: 26.385136\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC100954_12.wav\n", + "Start: 0.324142, end: 0.503847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC120332_1.wav\n", + "Start: 1.222755, end: 1.290169\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC120332_2.wav\n", + "Start: 3.992406, end: 4.046964\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC120332_3.wav\n", + "Start: 1.355716, end: 1.471861\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_1.wav\n", + "Start: 2.392046, end: 2.454585\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_2.wav\n", + "Start: 4.093949, end: 4.134153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_3.wav\n", + "Start: 5.454132, end: 5.543475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_4.wav\n", + "Start: 6.803148, end: 6.901424\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_5.wav\n", + "Start: 8.143229, end: 8.192368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_6.wav\n", + "Start: 9.24433, end: 9.342606\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_7.wav\n", + "Start: 11.283487, end: 11.343782\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_8.wav\n", + "Start: 13.798374, end: 13.838578\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_9.wav\n", + "Start: 17.84542, end: 17.954854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_10.wav\n", + "Start: 19.21007, end: 19.33515\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_11.wav\n", + "Start: 21.441306, end: 21.537338\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_12.wav\n", + "Start: 22.75682, end: 22.855096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_13.wav\n", + "Start: 24.992522, end: 25.1042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_14.wav\n", + "Start: 28.972565, end: 29.028415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC135658_15.wav\n", + "Start: 1.4306, end: 1.623253\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_1.wav\n", + "Start: 2.411684, end: 2.622183\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_2.wav\n", + "Start: 3.396336, end: 3.574726\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_3.wav\n", + "Start: 4.548665, end: 4.702066\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_4.wav\n", + "Start: 5.997102, end: 6.154086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_5.wav\n", + "Start: 6.749862, end: 6.960338\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_6.wav\n", + "Start: 8.198299, end: 8.376689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_7.wav\n", + "Start: 9.004572, end: 9.165117\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_8.wav\n", + "Start: 9.828683, end: 9.903604\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_9.wav\n", + "Start: 10.395929, end: 10.552913\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_10.wav\n", + "Start: 11.170094, end: 11.259277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_11.wav\n", + "Start: 16.831843, end: 16.960279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_12.wav\n", + "Start: 17.424062, end: 17.56676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_13.wav\n", + "Start: 17.959199, end: 18.155412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_14.wav\n", + "Start: 18.790445, end: 18.986658\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_15.wav\n", + "Start: 19.771529, end: 19.882142\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_16.wav\n", + "Start: 20.720506, end: 20.806129\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_17.wav\n", + "Start: 21.269913, end: 21.416194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_18.wav\n", + "Start: 21.933483, end: 22.040512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_19.wav\n", + "Start: 22.878892, end: 23.064402\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_20.wav\n", + "Start: 23.660192, end: 23.745815\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC144531_21.wav\n", + "Start: 0.29808, end: 0.505434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC155665_1.wav\n", + "Start: 5.946048, end: 6.770319\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC155665_2.wav\n", + "Start: 7.288704, end: 7.542725\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC155665_3.wav\n", + "Start: 8.263296, end: 8.486213\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC155665_4.wav\n", + "Start: 9.507456, end: 9.719998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC155665_5.wav\n", + "Start: 2.281968, end: 2.900176\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_1.wav\n", + "Start: 6.765768, end: 7.620539\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_2.wav\n", + "Start: 3.171096, end: 3.968638\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_3.wav\n", + "Start: 9.00576, end: 11.249572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_4.wav\n", + "Start: 11.661696, end: 13.172842\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_5.wav\n", + "Start: 15.065568, end: 15.409005\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_6.wav\n", + "Start: 15.920352, end: 16.332477\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_7.wav\n", + "Start: 18.81288, end: 19.163963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_8.wav\n", + "Start: 19.789776, end: 20.522464\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_9.wav\n", + "Start: 23.788944, end: 24.49109\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC182877_10.wav\n", + "Start: 0.153861, end: 0.26817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_1.wav\n", + "Start: 1.488058, end: 1.694679\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_2.wav\n", + "Start: 1.927661, end: 1.993602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_3.wav\n", + "Start: 2.187027, end: 2.358479\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_4.wav\n", + "Start: 2.745324, end: 3.231083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_5.wav\n", + "Start: 3.576174, end: 3.683884\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_6.wav\n", + "Start: 3.908075, end: 4.409232\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_7.wav\n", + "Start: 4.963123, end: 5.095006\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_8.wav\n", + "Start: 5.56538, end: 5.668691\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_9.wav\n", + "Start: 5.826944, end: 6.051139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_10.wav\n", + "Start: 6.958923, end: 7.156724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_11.wav\n", + "Start: 8.893179, end: 9.095401\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_12.wav\n", + "Start: 9.337178, end: 9.596543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_13.wav\n", + "Start: 9.820742, end: 10.198792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_14.wav\n", + "Start: 10.493336, end: 10.64719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_15.wav\n", + "Start: 11.0868, end: 11.267027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_16.wav\n", + "Start: 11.548384, end: 11.83852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_17.wav\n", + "Start: 12.832026, end: 13.113387\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_18.wav\n", + "Start: 18.0721, end: 19.245841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_19.wav\n", + "Start: 19.685445, end: 20.384424\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_20.wav\n", + "Start: 20.714117, end: 21.14931\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_21.wav\n", + "Start: 21.821918, end: 22.199968\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_22.wav\n", + "Start: 25.870666, end: 26.072888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_23.wav\n", + "Start: 29.96777, end: 30.183167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_24.wav\n", + "Start: 31.436046, end: 31.778926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_25.wav\n", + "Start: 38.491682, end: 39.120322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_26.wav\n", + "Start: 39.581899, end: 39.775323\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_27.wav\n", + "Start: 40.087443, end: 40.228123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_28.wav\n", + "Start: 45.318725, end: 46.030879\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_29.wav\n", + "Start: 48.52783, end: 49.424633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_30.wav\n", + "Start: 58.836532, end: 59.012383\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_31.wav\n", + "Start: 59.214591, end: 59.522324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_32.wav\n", + "Start: 59.909165, end: 60.085015\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_33.wav\n", + "Start: 60.594946, end: 60.819141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_34.wav\n", + "Start: 61.144451, end: 61.351072\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185101_35.wav\n", + "Start: 1.725257, end: 3.394554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_1.wav\n", + "Start: 9.997166, end: 11.181542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_2.wav\n", + "Start: 12.46848, end: 13.429024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_3.wav\n", + "Start: 14.384914, end: 14.916479\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_4.wav\n", + "Start: 18.903223, end: 19.017463\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_5.wav\n", + "Start: 19.588663, end: 19.740205\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_6.wav\n", + "Start: 20.311406, end: 20.446621\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_7.wav\n", + "Start: 21.269623, end: 22.917945\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_8.wav\n", + "Start: 25.020891, end: 26.139984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_9.wav\n", + "Start: 30.537051, end: 31.278435\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_10.wav\n", + "Start: 35.945966, end: 36.6827\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_11.wav\n", + "Start: 59.572663, end: 60.337379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_12.wav\n", + "Start: 56.168777, end: 56.88685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_13.wav\n", + "Start: 62.808686, end: 63.56406\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185103_14.wav\n", + "Start: 3.406629, end: 4.453318\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_1.wav\n", + "Start: 4.729783, end: 4.87298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_2.wav\n", + "Start: 5.657966, end: 5.80114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_3.wav\n", + "Start: 6.546651, end: 6.675019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_4.wav\n", + "Start: 6.872503, end: 7.005814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_5.wav\n", + "Start: 7.726629, end: 7.924112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_6.wav\n", + "Start: 8.457326, end: 8.783176\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_7.wav\n", + "Start: 9.701486, end: 9.82491\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_8.wav\n", + "Start: 10.427246, end: 10.55559\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_9.wav\n", + "Start: 12.194743, end: 12.328054\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_10.wav\n", + "Start: 12.688457, end: 12.955056\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_11.wav\n", + "Start: 13.424091, end: 13.621597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_12.wav\n", + "Start: 14.431269, end: 14.623808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_13.wav\n", + "Start: 15.0336, end: 15.201468\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_14.wav\n", + "Start: 15.729737, end: 15.94205\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_15.wav\n", + "Start: 17.897143, end: 18.069932\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_16.wav\n", + "Start: 18.326674, end: 18.484679\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_17.wav\n", + "Start: 18.76608, end: 18.948756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_18.wav\n", + "Start: 19.689326, end: 19.857194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_19.wav\n", + "Start: 20.163291, end: 20.306466\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_20.wav\n", + "Start: 21.118626, end: 21.819714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_21.wav\n", + "Start: 22.851566, end: 23.342813\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_22.wav\n", + "Start: 24.075977, end: 25.046113\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_23.wav\n", + "Start: 26.240914, end: 26.398919\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_24.wav\n", + "Start: 28.971154, end: 29.176052\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_25.wav\n", + "Start: 27.610971, end: 27.717117\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_26.wav\n", + "Start: 28.02816, end: 28.129362\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_27.wav\n", + "Start: 29.316754, end: 29.506822\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_28.wav\n", + "Start: 29.731474, end: 30.146191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_29.wav\n", + "Start: 30.580663, end: 30.755946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_30.wav\n", + "Start: 31.044754, end: 31.163235\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_31.wav\n", + "Start: 31.802606, end: 31.930973\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_32.wav\n", + "Start: 33.459017, end: 33.523189\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185104_33.wav\n", + "Start: 0.369476, end: 1.307367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185268_1.wav\n", + "Start: 2.643174, end: 2.941587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185268_2.wav\n", + "Start: 7.55294, end: 7.957929\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185268_3.wav\n", + "Start: 10.853355, end: 11.066507\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185268_4.wav\n", + "Start: 1.208141, end: 2.18025\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185273_1.wav\n", + "Start: 5.412631, end: 6.248731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185273_2.wav\n", + "Start: 7.472871, end: 8.793007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC185273_3.wav\n", + "Start: 1.905058, end: 2.231135\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318414_1.wav\n", + "Start: 7.213737, end: 7.503918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_1.wav\n", + "Start: 6.138984, end: 6.368984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_2.wav\n", + "Start: 5.433947, end: 5.60592\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_3.wav\n", + "Start: 4.395736, end: 4.569841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_4.wav\n", + "Start: 3.546682, end: 3.718632\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_5.wav\n", + "Start: 2.755665, end: 2.826594\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_6.wav\n", + "Start: 1.796986, end: 1.852881\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318416_7.wav\n", + "Start: 1.790806, end: 1.918039\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318417_1.wav\n", + "Start: 2.350722, end: 2.577457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318417_2.wav\n", + "Start: 3.21836, end: 3.454347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318417_3.wav\n", + "Start: 5.363163, end: 5.606111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318417_4.wav\n", + "Start: 6.550092, end: 6.681974\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318417_5.wav\n", + "Start: 7.662983, end: 7.878153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318417_6.wav\n", + "Start: 0.872102, end: 1.392147\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318418_1.wav\n", + "Start: 1.908223, end: 2.25625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318418_2.wav\n", + "Start: 2.66231, end: 2.774329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318418_3.wav\n", + "Start: 3.032354, end: 3.268385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC318418_4.wav\n", + "Start: 5.243298, end: 5.542935\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333813_1.wav\n", + "Start: 6.251624, end: 6.597339\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333813_2.wav\n", + "Start: 4.436637, end: 4.621013\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333813_3.wav\n", + "Start: 7.957137, end: 8.216411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333813_4.wav\n", + "Start: 0.716837, end: 0.889128\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333823_1.wav\n", + "Start: 2.965197, end: 3.233224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333823_2.wav\n", + "Start: 3.801152, end: 4.011742\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333823_3.wav\n", + "Start: 4.524371, end: 4.671128\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333823_4.wav\n", + "Start: 4.728574, end: 5.477327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333823_5.wav\n", + "Start: 5.885724, end: 6.179284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC333823_6.wav\n", + "Start: 1.139237, end: 1.301664\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338275_1.wav\n", + "Start: 1.82469, end: 2.008591\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338275_2.wav\n", + "Start: 2.751366, end: 2.925719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338275_3.wav\n", + "Start: 2.795027, end: 2.927408\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338276_1.wav\n", + "Start: 7.301396, end: 7.433777\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338276_2.wav\n", + "Start: 8.728331, end: 8.939193\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338276_3.wav\n", + "Start: 9.576647, end: 9.782588\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338276_4.wav\n", + "Start: 2.153027, end: 2.374388\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338277_1.wav\n", + "Start: 3.979076, end: 4.119938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338277_2.wav\n", + "Start: 1.458827, end: 1.599689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC338277_3.wav\n", + "Start: 2.984647, end: 3.127685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339477_1.wav\n", + "Start: 4.364852, end: 4.596825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339477_2.wav\n", + "Start: 1.97232, end: 2.60724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339478_1.wav\n", + "Start: 4.632719, end: 5.241381\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339480_1.wav\n", + "Start: 3.63105, end: 3.829304\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339480_2.wav\n", + "Start: 2.900667, end: 3.081528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339480_3.wav\n", + "Start: 2.093767, end: 2.194628\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339480_4.wav\n", + "Start: 4.33361, end: 4.437964\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC339480_5.wav\n", + "Start: 3.042088, end: 3.195104\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_1.wav\n", + "Start: 6.269399, end: 6.390215\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_2.wav\n", + "Start: 6.712324, end: 6.84119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_3.wav\n", + "Start: 7.223701, end: 7.408939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_4.wav\n", + "Start: 7.75521, end: 7.855868\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_5.wav\n", + "Start: 15.441969, end: 15.566798\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_6.wav\n", + "Start: 15.840601, end: 15.965431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_7.wav\n", + "Start: 16.211047, end: 16.347963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_8.wav\n", + "Start: 16.649945, end: 16.762689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_9.wav\n", + "Start: 17.020391, end: 17.193543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_10.wav\n", + "Start: 17.572034, end: 17.765299\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_11.wav\n", + "Start: 18.13173, end: 18.25656\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_12.wav\n", + "Start: 20.245689, end: 20.426891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341211_13.wav\n", + "Start: 7.07166, end: 7.207669\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341212_1.wav\n", + "Start: 8.109505, end: 8.252657\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341212_2.wav\n", + "Start: 15.528307, end: 15.710824\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341212_3.wav\n", + "Start: 14.264999, end: 14.35806\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341212_4.wav\n", + "Start: 16.458789, end: 16.816657\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341212_5.wav\n", + "Start: 18.555951, end: 18.727742\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341212_6.wav\n", + "Start: 0.156436, end: 0.305053\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_1.wav\n", + "Start: 1.185004, end: 1.259312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_2.wav\n", + "Start: 2.037581, end: 2.123635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_3.wav\n", + "Start: 3.762289, end: 3.856144\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_4.wav\n", + "Start: 4.454519, end: 4.548397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_5.wav\n", + "Start: 5.377493, end: 5.459624\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_6.wav\n", + "Start: 6.081455, end: 6.163587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC341986_7.wav\n", + "Start: 0.179304, end: 0.281776\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_1.wav\n", + "Start: 1.314366, end: 1.456838\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_2.wav\n", + "Start: 2.969731, end: 3.11701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_3.wav\n", + "Start: 3.803817, end: 3.931889\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_4.wav\n", + "Start: 5.518416, end: 5.611273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_5.wav\n", + "Start: 8.875572, end: 8.986026\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_6.wav\n", + "Start: 10.249173, end: 10.34042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC358986_7.wav\n", + "Start: 0.941143, end: 1.318445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC359026_1.wav\n", + "Start: 6.065607, end: 6.737262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC359026_2.wav\n", + "Start: 8.204946, end: 8.623698\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC359026_3.wav\n", + "Start: 18.926517, end: 19.04468\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC359026_4.wav\n", + "Start: 19.376358, end: 20.023138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC359026_5.wav\n", + "Start: 25.750842, end: 26.206897\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC359026_6.wav\n", + "Start: 1.841857, end: 2.567321\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC366752_1.wav\n", + "Start: 5.02178, end: 5.614251\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC366752_2.wav\n", + "Start: 2.835454, end: 3.017993\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_1.wav\n", + "Start: 3.654855, end: 3.890139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_2.wav\n", + "Start: 4.563499, end: 4.839349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_3.wav\n", + "Start: 5.849391, end: 6.104947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_4.wav\n", + "Start: 16.440764, end: 16.651694\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_5.wav\n", + "Start: 22.432131, end: 22.659296\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_6.wav\n", + "Start: 26.383106, end: 26.565646\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC367088_7.wav\n", + "Start: 0.794645, end: 0.964917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_1.wav\n", + "Start: 4.59002, end: 4.77544\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_2.wav\n", + "Start: 8.805425, end: 8.990844\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_3.wav\n", + "Start: 11.189357, end: 11.352055\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_4.wav\n", + "Start: 14.152247, end: 14.299821\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_5.wav\n", + "Start: 17.966543, end: 18.11033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_6.wav\n", + "Start: 24.380462, end: 24.630213\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_7.wav\n", + "Start: 22.965238, end: 23.127959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371000_8.wav\n", + "Start: 1.115429, end: 1.678853\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_1.wav\n", + "Start: 4.717808, end: 5.514542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_2.wav\n", + "Start: 6.294204, end: 6.442186\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_3.wav\n", + "Start: 7.045411, end: 7.614504\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_4.wav\n", + "Start: 12.497353, end: 12.639643\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_5.wav\n", + "Start: 22.524828, end: 22.661404\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_6.wav\n", + "Start: 23.702857, end: 23.845125\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371001_7.wav\n", + "Start: 3.660083, end: 4.501172\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_1.wav\n", + "Start: 4.842729, end: 4.959985\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_2.wav\n", + "Start: 6.708454, end: 6.876662\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_3.wav\n", + "Start: 8.620057, end: 8.803549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_4.wav\n", + "Start: 9.31843, end: 9.532534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_5.wav\n", + "Start: 10.592832, end: 10.766143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_6.wav\n", + "Start: 11.510402, end: 11.693917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_7.wav\n", + "Start: 17.153455, end: 17.321687\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_8.wav\n", + "Start: 18.208661, end: 18.351382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_9.wav\n", + "Start: 19.477965, end: 19.610505\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_10.wav\n", + "Start: 23.601931, end: 23.754856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_11.wav\n", + "Start: 25.916246, end: 26.084477\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_12.wav\n", + "Start: 29.673184, end: 29.836313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_13.wav\n", + "Start: 29.673184, end: 29.836313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371002_14.wav\n", + "Start: 1.713782, end: 2.848317\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371003_1.wav\n", + "Start: 0.730682, end: 0.810387\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371003_2.wav\n", + "Start: 1.214261, end: 1.26739\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371003_3.wav\n", + "Start: 1.371026, end: 1.432137\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371003_4.wav\n", + "Start: 1.850723, end: 2.919023\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371004_1.wav\n", + "Start: 23.20175, end: 23.765991\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371004_2.wav\n", + "Start: 1.529507, end: 1.71835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371155_1.wav\n", + "Start: 3.821878, end: 3.920064\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC371155_2.wav\n", + "Start: 1.405447, end: 1.536377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376954_1.wav\n", + "Start: 1.878383, end: 2.025345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376954_2.wav\n", + "Start: 2.27116, end: 2.45819\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376954_3.wav\n", + "Start: 2.960524, end: 3.144901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376954_4.wav\n", + "Start: 3.786158, end: 3.911736\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376954_5.wav\n", + "Start: 0.726898, end: 0.880322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376955_1.wav\n", + "Start: 1.84617, end: 1.959368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376955_2.wav\n", + "Start: 3.476032, end: 3.644558\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376955_3.wav\n", + "Start: 4.248204, end: 4.36893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376955_4.wav\n", + "Start: 5.925855, end: 6.081796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376955_5.wav\n", + "Start: 7.143221, end: 7.26143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376955_6.wav\n", + "Start: 0.179685, end: 0.282701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_1.wav\n", + "Start: 0.565409, end: 0.677994\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_2.wav\n", + "Start: 1.487793, end: 1.636319\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_3.wav\n", + "Start: 2.18018, end: 2.338298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_4.wav\n", + "Start: 2.925274, end: 3.0738\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_5.wav\n", + "Start: 3.471517, end: 3.593694\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_6.wav\n", + "Start: 4.151924, end: 4.223807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_7.wav\n", + "Start: 4.851499, end: 4.940138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_8.wav\n", + "Start: 5.563052, end: 5.730739\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_9.wav\n", + "Start: 7.268863, end: 7.398228\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376956_10.wav\n", + "Start: 0.544571, end: 1.471805\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_1.wav\n", + "Start: 2.20772, end: 3.223276\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_2.wav\n", + "Start: 3.856151, end: 4.879076\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_3.wav\n", + "Start: 5.217579, end: 5.570821\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_4.wav\n", + "Start: 6.431825, end: 8.094977\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_5.wav\n", + "Start: 8.978062, end: 9.691871\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_6.wav\n", + "Start: 11.310886, end: 12.569299\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376958_7.wav\n", + "Start: 0.946275, end: 1.694347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC376959_1.wav\n", + "Start: 1.735406, end: 2.367156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC411002_1.wav\n", + "Start: 8.395406, end: 8.798822\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC411002_2.wav\n", + "Start: 4.647525, end: 4.800025\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC432232_1.wav\n", + "Start: 0.422139, end: 0.6091\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC435064_1.wav\n", + "Start: 1.332752, end: 1.396086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC435064_2.wav\n", + "Start: 4.091731, end: 4.167128\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC435064_3.wav\n", + "Start: 1.415523, end: 1.695999\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC456725_1.wav\n", + "Start: 4.840176, end: 5.146752\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC456725_2.wav\n", + "Start: 7.266788, end: 7.527717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC456725_3.wav\n", + "Start: 9.993464, end: 10.247863\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC456725_4.wav\n", + "Start: 3.599942, end: 3.760483\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_1.wav\n", + "Start: 4.927536, end: 5.032494\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_2.wav\n", + "Start: 17.234026, end: 17.41311\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_3.wav\n", + "Start: 19.549598, end: 19.722494\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_4.wav\n", + "Start: 37.697503, end: 38.21619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_5.wav\n", + "Start: 36.925646, end: 37.129417\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_6.wav\n", + "Start: 37.289962, end: 37.543129\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_7.wav\n", + "Start: 42.760886, end: 42.896719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_8.wav\n", + "Start: 28.268496, end: 28.435204\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC464633_9.wav\n", + "Start: 1.268984, end: 1.39556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC485349_1.wav\n", + "Start: 2.462018, end: 2.60127\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC485349_2.wav\n", + "Start: 1.326005, end: 1.486572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC485350_1.wav\n", + "Start: 2.48626, end: 2.667553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC485350_2.wav\n", + "Start: 7.82136, end: 7.976757\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC485350_3.wav\n", + "Start: 1.372937, end: 1.505354\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494524_1.wav\n", + "Start: 6.039953, end: 6.197891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494536_1.wav\n", + "Start: 10.42153, end: 10.584572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494536_2.wav\n", + "Start: 13.587984, end: 13.761213\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494536_3.wav\n", + "Start: 23.767509, end: 23.935654\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494536_4.wav\n", + "Start: 1.080343, end: 1.204947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494537_1.wav\n", + "Start: 1.529829, end: 1.651266\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC494537_2.wav\n", + "Start: 1.203006, end: 1.373278\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_1.wav\n", + "Start: 1.656193, end: 1.834719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_2.wav\n", + "Start: 2.00501, end: 2.323604\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_3.wav\n", + "Start: 2.474677, end: 2.749348\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_4.wav\n", + "Start: 3.276681, end: 3.751828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_5.wav\n", + "Start: 7.934895, end: 8.195825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_6.wav\n", + "Start: 18.083541, end: 18.270322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_7.wav\n", + "Start: 17.569929, end: 17.73197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_8.wav\n", + "Start: 17.006879, end: 17.152457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_9.wav\n", + "Start: 16.567424, end: 16.655316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_10.wav\n", + "Start: 16.0236, end: 16.119722\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC522273_11.wav\n", + "Start: 2.064713, end: 2.196296\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC526231_1.wav\n", + "Start: 2.508357, end: 2.688857\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC526231_2.wav\n", + "Start: 1.38491, end: 1.440576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC526231_3.wav\n", + "Start: 1.656494, end: 1.71216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC526231_4.wav\n", + "Start: 0.228096, end: 0.606429\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC526232_1.wav\n", + "Start: 4.149738, end: 4.236314\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC544846_1.wav\n", + "Start: 11.731219, end: 11.795391\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC544846_2.wav\n", + "Start: 0.14112, end: 0.294336\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC552761_1.wav\n", + "Start: 0.518112, end: 0.850752\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC552761_2.wav\n", + "Start: 0.98784, end: 1.570464\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC552761_3.wav\n", + "Start: 1.8648, end: 2.15712\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC552761_4.wav\n", + "Start: 2.522016, end: 2.76192\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC552761_5.wav\n", + "Start: 3.148992, end: 3.523968\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC552761_6.wav\n", + "Start: 2.094411, end: 2.773858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC568336_1.wav\n", + "Start: 7.896096, end: 8.483191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC568336_2.wav\n", + "Start: 20.403195, end: 20.950711\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC568336_3.wav\n", + "Start: 2.289895, end: 2.951177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC568337_1.wav\n", + "Start: 16.389963, end: 17.089502\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Charadrius alexandrinus\\XC568337_2.wav\n", + "Ciconia ciconia\n", + "Start: 3.838507, end: 12.157442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC129188_1.wav\n", + "Start: 1.898057, end: 5.86461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134073_1.wav\n", + "Start: 6.244221, end: 7.181636\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134073_2.wav\n", + "Start: 7.913736, end: 8.157772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134073_3.wav\n", + "Start: 8.456038, end: 8.816288\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134073_4.wav\n", + "Start: 10.059703, end: 10.547775\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134073_5.wav\n", + "Start: 3.344091, end: 3.98264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_1.wav\n", + "Start: 4.96184, end: 7.17862\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_2.wav\n", + "Start: 7.961966, end: 11.233644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_3.wav\n", + "Start: 11.651657, end: 15.558596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_4.wav\n", + "Start: 16.22016, end: 21.572019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_5.wav\n", + "Start: 22.322469, end: 27.608501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_6.wav\n", + "Start: 38.40768, end: 42.321172\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_7.wav\n", + "Start: 42.844526, end: 50.859154\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_8.wav\n", + "Start: 62.99136, end: 69.047596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_9.wav\n", + "Start: 73.043383, end: 77.513156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_10.wav\n", + "Start: 78.131931, end: 79.306965\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134219_11.wav\n", + "Start: 7.738514, end: 22.177335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC134221_1.wav\n", + "Start: 4.980021, end: 8.935916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC135579_1.wav\n", + "Start: 3.03401, end: 15.931131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC141171_1.wav\n", + "Start: 1.417718, end: 11.533196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149045_1.wav\n", + "Start: 0.418706, end: 8.970452\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149069_1.wav\n", + "Start: 1.772233, end: 5.206246\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149070_1.wav\n", + "Start: 7.367493, end: 9.288627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149070_2.wav\n", + "Start: 9.706456, end: 11.915744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149070_3.wav\n", + "Start: 12.227926, end: 23.605749\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149070_4.wav\n", + "Start: 25.968733, end: 30.516987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149070_5.wav\n", + "Start: 0.569193, end: 1.638604\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_1.wav\n", + "Start: 28.179377, end: 35.352484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_2.wav\n", + "Start: 2.121538, end: 2.88045\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_3.wav\n", + "Start: 3.328918, end: 4.156832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_4.wav\n", + "Start: 18.679887, end: 26.743447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_5.wav\n", + "Start: 36.907007, end: 47.057619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_6.wav\n", + "Start: 47.665621, end: 48.471971\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_7.wav\n", + "Start: 49.03686, end: 51.49042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149071_8.wav\n", + "Start: 14.492966, end: 21.285279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC149072_1.wav\n", + "Start: 0.447429, end: 12.866054\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC154554_1.wav\n", + "Start: 0.104091, end: 5.877696\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC154555_1.wav\n", + "Start: 6.044242, end: 10.665888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC154555_2.wav\n", + "Start: 0.609743, end: 21.226659\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC167717_1.wav\n", + "Start: 1.936347, end: 8.118267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_1.wav\n", + "Start: 8.312883, end: 9.344842\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_2.wav\n", + "Start: 11.006434, end: 12.139788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_3.wav\n", + "Start: 13.217534, end: 13.726138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_4.wav\n", + "Start: 13.863528, end: 14.40159\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_5.wav\n", + "Start: 14.478449, end: 14.857866\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_6.wav\n", + "Start: 14.962536, end: 15.377932\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_7.wav\n", + "Start: 18.766543, end: 19.744522\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_8.wav\n", + "Start: 20.127219, end: 20.36599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC169478_9.wav\n", + "Start: 11.021315, end: 16.283807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC171088_1.wav\n", + "Start: 19.004347, end: 27.850152\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC171088_2.wav\n", + "Start: 28.105281, end: 29.315961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC171088_3.wav\n", + "Start: 1.352229, end: 6.615429\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC172946_1.wav\n", + "Start: 7.880229, end: 9.751208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC172946_2.wav\n", + "Start: 7.514331, end: 9.009363\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_1.wav\n", + "Start: 18.558833, end: 18.731021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_2.wav\n", + "Start: 20.351314, end: 20.554814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_3.wav\n", + "Start: 21.815043, end: 22.973512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_4.wav\n", + "Start: 36.029654, end: 36.240997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_5.wav\n", + "Start: 45.453878, end: 45.633909\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_6.wav\n", + "Start: 47.293324, end: 47.391168\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_7.wav\n", + "Start: 48.854896, end: 49.04274\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_8.wav\n", + "Start: 51.066144, end: 51.363582\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_9.wav\n", + "Start: 52.7373, end: 54.044456\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC181349_10.wav\n", + "Start: 2.276504, end: 3.270473\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC235721_1.wav\n", + "Start: 3.518963, end: 4.549008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC235721_2.wav\n", + "Start: 4.637175, end: 5.93976\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC235721_3.wav\n", + "Start: 6.092054, end: 8.448698\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC235721_4.wav\n", + "Start: 8.621057, end: 10.128042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC235721_5.wav\n", + "Start: 11.158077, end: 11.675107\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC235721_6.wav\n", + "Start: 0.128859, end: 24.436759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC244232_1.wav\n", + "Start: 29.313907, end: 29.805812\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC253191_1.wav\n", + "Start: 46.878744, end: 47.109447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC253191_2.wav\n", + "Start: 59.476672, end: 59.777035\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC253191_3.wav\n", + "Start: 2.619529, end: 11.859529\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC25468_1.wav\n", + "Start: 2.485753, end: 7.105503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC27569_1.wav\n", + "Start: 14.422055, end: 25.09203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC27569_2.wav\n", + "Start: 26.569412, end: 27.401906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC27569_3.wav\n", + "Start: 28.926188, end: 52.130452\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC27569_4.wav\n", + "Start: 52.587736, end: 56.855741\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC27569_5.wav\n", + "Start: 72.485482, end: 80.153781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC27569_6.wav\n", + "Start: 5.121847, end: 5.494264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC295996_1.wav\n", + "Start: 5.770587, end: 8.986254\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC295996_2.wav\n", + "Start: 0.054753, end: 0.732304\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC327581_1.wav\n", + "Start: 1.895811, end: 2.662364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC327581_2.wav\n", + "Start: 2.840294, end: 4.263854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC327581_3.wav\n", + "Start: 11.320111, end: 12.29197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC327581_4.wav\n", + "Start: 40.024189, end: 45.677387\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC327581_5.wav\n", + "Start: 8.641866, end: 14.678873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC340922_1.wav\n", + "Start: 0.050155, end: 7.31548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC372950_1.wav\n", + "Start: 2.831451, end: 10.63316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC379596_1.wav\n", + "Start: 0.205009, end: 7.966063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC416671_1.wav\n", + "Start: 1.757489, end: 5.718101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC428861_1.wav\n", + "Start: 7.863618, end: 13.375886\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC440123_1.wav\n", + "Start: 0.448512, end: 2.771158\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_1.wav\n", + "Start: 4.461093, end: 6.711676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_2.wav\n", + "Start: 13.283163, end: 14.007997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_3.wav\n", + "Start: 10.019438, end: 10.784313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_4.wav\n", + "Start: 10.988544, end: 11.397002\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_5.wav\n", + "Start: 11.585225, end: 12.269996\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_6.wav\n", + "Start: 16.246546, end: 22.357525\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_7.wav\n", + "Start: 23.8272, end: 26.093802\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC470421_8.wav\n", + "Start: 1.330006, end: 6.1164\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC500406_1.wav\n", + "Start: 1.221888, end: 5.85368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC518425_1.wav\n", + "Start: 0.389486, end: 2.648507\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC521611_1.wav\n", + "Start: 6.953053, end: 10.545094\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC527477_1.wav\n", + "Start: 13.265203, end: 22.476337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC527477_2.wav\n", + "Start: 5.564, end: 9.331551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC538422_1.wav\n", + "Start: 11.913945, end: 21.108276\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC538422_2.wav\n", + "Start: 76.64846, end: 81.139594\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC538422_3.wav\n", + "Start: 6.930696, end: 10.664324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC538423_1.wav\n", + "Start: 13.265203, end: 22.498696\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC538423_2.wav\n", + "Start: 3.987465, end: 7.187352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC91179_1.wav\n", + "Start: 12.25943, end: 12.821992\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC91179_2.wav\n", + "Start: 12.898504, end: 13.348549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC91179_3.wav\n", + "Start: 0.089025, end: 1.112812\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC93331_1.wav\n", + "Start: 1.672404, end: 2.244717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC93331_2.wav\n", + "Start: 2.886963, end: 4.254129\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC93331_3.wav\n", + "Start: 4.78829, end: 6.136385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC93331_4.wav\n", + "Start: 7.484485, end: 8.525755\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC93331_5.wav\n", + "Start: 9.032889, end: 10.628989\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ciconia ciconia\\XC93331_6.wav\n", + "Circus aeruginosus\n", + "Start: 0.780933, end: 1.224412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_1.wav\n", + "Start: 2.198181, end: 2.728431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_2.wav\n", + "Start: 3.576864, end: 4.164989\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_3.wav\n", + "Start: 4.897701, end: 5.456888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_4.wav\n", + "Start: 6.295666, end: 6.806645\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_5.wav\n", + "Start: 7.520091, end: 8.079279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_6.wav\n", + "Start: 11.125879, end: 11.598296\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_7.wav\n", + "Start: 12.600974, end: 13.198724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_8.wav\n", + "Start: 13.998939, end: 14.635252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_9.wav\n", + "Start: 25.452617, end: 25.973221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_10.wav\n", + "Start: 26.783095, end: 27.342262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_11.wav\n", + "Start: 28.036443, end: 28.663131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_12.wav\n", + "Start: 29.029481, end: 29.646523\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_13.wav\n", + "Start: 31.80613, end: 32.461734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100619_14.wav\n", + "Start: 0.252994, end: 0.489828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_1.wav\n", + "Start: 6.723189, end: 6.92773\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_2.wav\n", + "Start: 7.832057, end: 8.05814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_3.wav\n", + "Start: 9.969051, end: 10.232822\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_4.wav\n", + "Start: 11.287851, end: 11.540851\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_5.wav\n", + "Start: 14.076171, end: 14.329171\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_6.wav\n", + "Start: 18.081017, end: 18.360913\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100621_7.wav\n", + "Start: 2.156215, end: 2.549277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_1.wav\n", + "Start: 7.288455, end: 7.692747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_2.wav\n", + "Start: 17.979687, end: 18.383979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_3.wav\n", + "Start: 22.887322, end: 23.280385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_4.wav\n", + "Start: 27.89603, end: 28.345259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_5.wav\n", + "Start: 39.541836, end: 40.035961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_6.wav\n", + "Start: 46.673067, end: 47.077359\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_7.wav\n", + "Start: 50.289219, end: 50.772115\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_8.wav\n", + "Start: 53.0631, end: 54.163662\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_9.wav\n", + "Start: 57.925814, end: 58.734397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_10.wav\n", + "Start: 62.87837, end: 63.316349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_11.wav\n", + "Start: 66.752818, end: 67.842152\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_12.wav\n", + "Start: 70.818182, end: 71.750286\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_13.wav\n", + "Start: 82.857048, end: 83.227652\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_14.wav\n", + "Start: 89.437995, end: 89.875975\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_15.wav\n", + "Start: 93.289983, end: 93.806588\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_16.wav\n", + "Start: 94.761151, end: 95.131755\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_17.wav\n", + "Start: 98.556987, end: 98.95005\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_18.wav\n", + "Start: 148.419456, end: 148.846206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC100622_19.wav\n", + "Start: 3.416604, end: 3.829121\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_1.wav\n", + "Start: 8.088652, end: 8.420444\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_2.wav\n", + "Start: 9.173715, end: 9.559316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_3.wav\n", + "Start: 13.998211, end: 14.365875\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_4.wav\n", + "Start: 15.047404, end: 15.415068\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_5.wav\n", + "Start: 18.975153, end: 19.280051\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_6.wav\n", + "Start: 20.167826, end: 20.49066\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_7.wav\n", + "Start: 26.068417, end: 26.480934\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_8.wav\n", + "Start: 28.382022, end: 28.776603\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC112488_9.wav\n", + "Start: 0.76092, end: 1.21492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_1.wav\n", + "Start: 1.96944, end: 2.46819\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_2.wav\n", + "Start: 7.404583, end: 7.858583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_3.wav\n", + "Start: 8.54916, end: 9.054306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_4.wav\n", + "Start: 9.776863, end: 10.2948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_5.wav\n", + "Start: 16.490863, end: 17.015196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_6.wav\n", + "Start: 17.712171, end: 18.198151\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_7.wav\n", + "Start: 18.850354, end: 19.349104\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_8.wav\n", + "Start: 23.0514, end: 23.524587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_9.wav\n", + "Start: 24.247131, end: 24.758673\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_10.wav\n", + "Start: 28.301109, end: 28.723129\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_11.wav\n", + "Start: 29.413714, end: 29.87411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_12.wav\n", + "Start: 30.673389, end: 31.152951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_13.wav\n", + "Start: 37.64316, end: 38.058785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_14.wav\n", + "Start: 38.781343, end: 39.216155\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_15.wav\n", + "Start: 39.932314, end: 40.450252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_16.wav\n", + "Start: 41.249537, end: 41.754683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_17.wav\n", + "Start: 42.451663, end: 43.001559\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC131532_18.wav\n", + "Start: 0.235311, end: 5.151631\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC134843_1.wav\n", + "Start: 6.118087, end: 8.91659\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC134843_2.wav\n", + "Start: 9.555308, end: 10.77388\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC134843_3.wav\n", + "Start: 11.547048, end: 12.042876\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC134843_4.wav\n", + "Start: 1.555293, end: 1.844772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_1.wav\n", + "Start: 2.53655, end: 2.875091\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_2.wav\n", + "Start: 4.670784, end: 5.058367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_3.wav\n", + "Start: 5.607885, end: 6.000405\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_4.wav\n", + "Start: 6.785393, end: 7.192622\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_5.wav\n", + "Start: 7.707775, end: 8.208212\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_6.wav\n", + "Start: 8.664501, end: 9.106063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_7.wav\n", + "Start: 9.78804, end: 10.25904\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_8.wav\n", + "Start: 16.279056, end: 21.366869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_9.wav\n", + "Start: 23.04973, end: 32.136168\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC143954_10.wav\n", + "Start: 2.91013, end: 3.274348\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_1.wav\n", + "Start: 7.484753, end: 7.823461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_2.wav\n", + "Start: 11.910045, end: 12.31068\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_3.wav\n", + "Start: 16.827037, end: 17.183976\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_4.wav\n", + "Start: 21.299678, end: 21.671174\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_5.wav\n", + "Start: 25.510079, end: 25.881598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_6.wav\n", + "Start: 29.268846, end: 29.633063\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_7.wav\n", + "Start: 33.617651, end: 34.069307\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_8.wav\n", + "Start: 37.682364, end: 38.09758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_9.wav\n", + "Start: 42.453667, end: 42.88344\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_10.wav\n", + "Start: 46.576655, end: 47.057449\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC145121_11.wav\n", + "Start: 2.119143, end: 2.804131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC161966_1.wav\n", + "Start: 3.863689, end: 4.495141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC161966_2.wav\n", + "Start: 6.068454, end: 6.624984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC161966_3.wav\n", + "Start: 7.952136, end: 8.658531\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC161966_4.wav\n", + "Start: 10.156901, end: 10.756266\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC161966_5.wav\n", + "Start: 12.821883, end: 13.410545\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC161966_6.wav\n", + "Start: 1.303734, end: 1.703734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_1.wav\n", + "Start: 10.607655, end: 11.074321\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_2.wav\n", + "Start: 14.948497, end: 15.392941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_3.wav\n", + "Start: 19.156002, end: 19.622669\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_4.wav\n", + "Start: 23.578328, end: 23.96352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_5.wav\n", + "Start: 28.341402, end: 28.689565\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_6.wav\n", + "Start: 33.5193, end: 33.852634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_7.wav\n", + "Start: 38.282374, end: 38.667567\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_8.wav\n", + "Start: 47.652963, end: 48.045548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_9.wav\n", + "Start: 50.860445, end: 51.319697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC164817_10.wav\n", + "Start: 35.152457, end: 35.710439\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189879_1.wav\n", + "Start: 1.54783, end: 2.108397\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_1.wav\n", + "Start: 2.702427, end: 3.262994\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_2.wav\n", + "Start: 3.798458, end: 4.325555\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_3.wav\n", + "Start: 5.045088, end: 5.555474\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_4.wav\n", + "Start: 6.124386, end: 6.710055\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_5.wav\n", + "Start: 7.145117, end: 7.789334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_6.wav\n", + "Start: 8.207681, end: 8.801717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_7.wav\n", + "Start: 13.328069, end: 14.005756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_8.wav\n", + "Start: 15.352798, end: 16.114181\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_9.wav\n", + "Start: 16.356795, end: 16.934097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_10.wav\n", + "Start: 24.045744, end: 24.572842\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189882_11.wav\n", + "Start: 2.819359, end: 4.195209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_1.wav\n", + "Start: 4.52789, end: 5.024103\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_2.wav\n", + "Start: 5.565414, end: 6.072897\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_3.wav\n", + "Start: 6.625493, end: 7.149892\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_4.wav\n", + "Start: 7.527687, end: 8.131021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_5.wav\n", + "Start: 13.950186, end: 14.395651\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_6.wav\n", + "Start: 17.243197, end: 17.745034\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_7.wav\n", + "Start: 18.218695, end: 19.774999\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_8.wav\n", + "Start: 20.226079, end: 20.694083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_9.wav\n", + "Start: 24.584807, end: 25.035895\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_10.wav\n", + "Start: 25.706912, end: 26.220041\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_11.wav\n", + "Start: 28.171031, end: 28.616496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC189883_12.wav\n", + "Start: 4.093481, end: 4.553413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_1.wav\n", + "Start: 8.657726, end: 9.17988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_2.wav\n", + "Start: 9.642542, end: 9.940161\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_3.wav\n", + "Start: 12.84049, end: 13.15702\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_4.wav\n", + "Start: 15.261948, end: 15.597435\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_5.wav\n", + "Start: 17.512956, end: 17.832208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_6.wav\n", + "Start: 19.677388, end: 19.974984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_7.wav\n", + "Start: 28.981738, end: 29.338858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_8.wav\n", + "Start: 29.950321, end: 30.291228\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_9.wav\n", + "Start: 30.859382, end: 31.238157\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_10.wav\n", + "Start: 31.806321, end: 32.179677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_11.wav\n", + "Start: 32.829015, end: 33.186135\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC196976_12.wav\n", + "Start: 3.207387, end: 3.697262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC205076_1.wav\n", + "Start: 4.517157, end: 4.98124\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC205076_2.wav\n", + "Start: 5.749577, end: 6.321952\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC205076_3.wav\n", + "Start: 7.110912, end: 7.626558\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC205076_4.wav\n", + "Start: 15.201573, end: 15.634739\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC205076_5.wav\n", + "Start: 16.42368, end: 16.861972\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC205076_6.wav\n", + "Start: 2.299063, end: 2.620396\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC235176_1.wav\n", + "Start: 5.213623, end: 5.562102\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC235176_2.wav\n", + "Start: 4.351606, end: 4.827343\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_1.wav\n", + "Start: 7.024136, end: 7.653796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_2.wav\n", + "Start: 8.87112, end: 9.61273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_3.wav\n", + "Start: 10.368297, end: 11.011947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_4.wav\n", + "Start: 11.935435, end: 12.481126\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_5.wav\n", + "Start: 30.489229, end: 31.020929\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_6.wav\n", + "Start: 31.762528, end: 32.210283\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_7.wav\n", + "Start: 34.211181, end: 34.756873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_8.wav\n", + "Start: 35.568435, end: 36.28204\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC262846_9.wav\n", + "Start: 1.693093, end: 4.99629\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269744_1.wav\n", + "Start: 5.461055, end: 11.13788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269744_2.wav\n", + "Start: 11.469875, end: 16.349988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269744_3.wav\n", + "Start: 19.686355, end: 24.649439\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269744_4.wav\n", + "Start: 4.038441, end: 5.702931\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269745_1.wav\n", + "Start: 17.8319, end: 19.714692\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269745_2.wav\n", + "Start: 29.00583, end: 29.619776\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269745_3.wav\n", + "Start: 30.274664, end: 30.943191\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269745_4.wav\n", + "Start: 34.463183, end: 34.995292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269745_5.wav\n", + "Start: 36.605194, end: 38.80177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC269745_6.wav\n", + "Start: 3.701715, end: 4.050423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_1.wav\n", + "Start: 4.756793, end: 5.069741\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_2.wav\n", + "Start: 8.592629, end: 8.923468\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_3.wav\n", + "Start: 11.543271, end: 11.954587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_4.wav\n", + "Start: 13.474601, end: 13.832243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_5.wav\n", + "Start: 15.593699, end: 15.951363\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_6.wav\n", + "Start: 19.125529, end: 19.545778\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_7.wav\n", + "Start: 20.618733, end: 20.949572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_8.wav\n", + "Start: 24.079032, end: 24.463521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_9.wav\n", + "Start: 25.178817, end: 25.545415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_10.wav\n", + "Start: 28.33511, end: 28.68384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280997_11.wav\n", + "Start: 1.706337, end: 2.089738\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_1.wav\n", + "Start: 5.902662, end: 6.264998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_2.wav\n", + "Start: 9.218433, end: 9.572333\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_3.wav\n", + "Start: 10.511879, end: 10.865779\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_4.wav\n", + "Start: 16.71789, end: 17.05916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_5.wav\n", + "Start: 17.665855, end: 17.998689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_6.wav\n", + "Start: 18.592754, end: 18.925611\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_7.wav\n", + "Start: 22.39304, end: 22.704809\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC280998_8.wav\n", + "Start: 1.724688, end: 2.141001\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_1.wav\n", + "Start: 4.383936, end: 4.817228\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_2.wav\n", + "Start: 7.425504, end: 7.824817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_3.wav\n", + "Start: 8.360064, end: 8.750877\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_4.wav\n", + "Start: 11.00232, end: 11.401632\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_5.wav\n", + "Start: 12.837456, end: 13.253748\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_6.wav\n", + "Start: 15.25032, end: 15.700612\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_7.wav\n", + "Start: 16.660656, end: 17.153427\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC296061_8.wav\n", + "Start: 0.468532, end: 0.881593\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC341264_1.wav\n", + "Start: 3.057789, end: 3.440012\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC341264_2.wav\n", + "Start: 5.326472, end: 5.708694\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC341264_3.wav\n", + "Start: 6.047765, end: 6.423842\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC341264_4.wav\n", + "Start: 9.987135, end: 10.394005\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC341264_5.wav\n", + "Start: 0.367591, end: 0.649299\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC357371_1.wav\n", + "Start: 1.10873, end: 1.459184\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_1.wav\n", + "Start: 5.301514, end: 5.671083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_2.wav\n", + "Start: 13.559641, end: 13.833632\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_3.wav\n", + "Start: 17.758797, end: 18.083762\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_4.wav\n", + "Start: 21.683956, end: 22.015316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_5.wav\n", + "Start: 25.832135, end: 26.169845\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_6.wav\n", + "Start: 29.865619, end: 30.260675\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_7.wav\n", + "Start: 34.402491, end: 34.721085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_8.wav\n", + "Start: 38.021794, end: 38.397735\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_9.wav\n", + "Start: 42.501318, end: 42.800796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_10.wav\n", + "Start: 47.382279, end: 47.694524\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_11.wav\n", + "Start: 55.65315, end: 55.997231\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_12.wav\n", + "Start: 59.852306, end: 60.247362\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_13.wav\n", + "Start: 67.320303, end: 67.626176\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC365601_14.wav\n", + "Start: 0.721315, end: 1.145624\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_1.wav\n", + "Start: 1.654783, end: 2.070587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_2.wav\n", + "Start: 2.715541, end: 3.224702\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_3.wav\n", + "Start: 5.159527, end: 5.6093\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_4.wav\n", + "Start: 6.042078, end: 6.551239\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_5.wav\n", + "Start: 7.119808, end: 7.628969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_6.wav\n", + "Start: 10.548178, end: 11.456182\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_7.wav\n", + "Start: 40.716136, end: 41.157406\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_8.wav\n", + "Start: 41.683547, end: 42.175747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_9.wav\n", + "Start: 44.051159, end: 44.526374\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_10.wav\n", + "Start: 46.164189, end: 46.698815\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_11.wav\n", + "Start: 50.483596, end: 50.95033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC447442_12.wav\n", + "Start: 1.479949, end: 3.36267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_1.wav\n", + "Start: 5.371839, end: 5.788664\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_2.wav\n", + "Start: 6.650402, end: 7.085958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_3.wav\n", + "Start: 7.863398, end: 8.317684\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_4.wav\n", + "Start: 9.198162, end: 9.629024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_5.wav\n", + "Start: 10.710894, end: 11.160509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_6.wav\n", + "Start: 26.489208, end: 27.079322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_7.wav\n", + "Start: 27.524236, end: 27.969156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_8.wav\n", + "Start: 28.385978, end: 28.887089\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_9.wav\n", + "Start: 29.252403, end: 29.697324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC454603_10.wav\n", + "Start: 1.444114, end: 1.732948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC469570_1.wav\n", + "Start: 2.666798, end: 2.994131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC469570_2.wav\n", + "Start: 11.023406, end: 11.398885\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC469570_3.wav\n", + "Start: 1.482432, end: 1.815224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC473954_1.wav\n", + "Start: 4.780087, end: 5.158254\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC473954_2.wav\n", + "Start: 15.452085, end: 15.898335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC473954_3.wav\n", + "Start: 2.208549, end: 2.720528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_1.wav\n", + "Start: 7.970853, end: 8.492873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_2.wav\n", + "Start: 24.926482, end: 25.448503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_3.wav\n", + "Start: 30.277193, end: 30.749026\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_4.wav\n", + "Start: 34.794679, end: 35.296616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_5.wav\n", + "Start: 36.039497, end: 36.51133\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_6.wav\n", + "Start: 50.284635, end: 50.796615\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_7.wav\n", + "Start: 51.830619, end: 52.312474\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_8.wav\n", + "Start: 57.211447, end: 57.733468\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_9.wav\n", + "Start: 62.250953, end: 62.783016\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_10.wav\n", + "Start: 67.581586, end: 68.063461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474017_11.wav\n", + "Start: 3.619707, end: 4.011541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_1.wav\n", + "Start: 1.119497, end: 1.473997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_2.wav\n", + "Start: 11.614783, end: 12.062575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_3.wav\n", + "Start: 25.692459, end: 26.074959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_4.wav\n", + "Start: 32.76395, end: 33.081137\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_5.wav\n", + "Start: 36.103783, end: 36.486262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_6.wav\n", + "Start: 37.409863, end: 37.801696\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_7.wav\n", + "Start: 40.37653, end: 40.777697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_8.wav\n", + "Start: 45.628838, end: 46.002004\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_9.wav\n", + "Start: 48.819405, end: 49.183259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC474019_10.wav\n", + "Start: 0.559872, end: 1.999289\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC501772_1.wav\n", + "Start: 19.236096, end: 19.982575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC501772_2.wav\n", + "Start: 22.367232, end: 23.11719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC501772_3.wav\n", + "Start: 4.346223, end: 4.718015\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_1.wav\n", + "Start: 5.266808, end: 5.656287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_2.wav\n", + "Start: 6.249356, end: 6.683074\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_3.wav\n", + "Start: 7.41779, end: 7.860375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_4.wav\n", + "Start: 9.745808, end: 10.188393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_5.wav\n", + "Start: 10.719504, end: 11.268325\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_6.wav\n", + "Start: 11.728606, end: 12.321668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_7.wav\n", + "Start: 12.861634, end: 13.419298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC518351_8.wav\n", + "Start: 2.184603, end: 2.756478\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_1.wav\n", + "Start: 4.323456, end: 4.700894\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_2.wav\n", + "Start: 7.125696, end: 7.537467\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_3.wav\n", + "Start: 10.191003, end: 10.740024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_4.wav\n", + "Start: 11.655031, end: 12.215489\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_5.wav\n", + "Start: 14.628837, end: 15.154982\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_6.wav\n", + "Start: 15.818359, end: 16.32163\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_7.wav\n", + "Start: 17.408201, end: 17.900014\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_8.wav\n", + "Start: 19.569929, end: 20.141804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_9.wav\n", + "Start: 22.680987, end: 23.287196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_10.wav\n", + "Start: 23.881947, end: 24.419531\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544680_11.wav\n", + "Start: 2.743371, end: 3.064121\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_1.wav\n", + "Start: 3.781632, end: 4.161486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_2.wav\n", + "Start: 8.761906, end: 9.226156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_3.wav\n", + "Start: 10.407929, end: 10.787762\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_4.wav\n", + "Start: 11.463072, end: 11.851364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_5.wav\n", + "Start: 16.671257, end: 17.084882\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_6.wav\n", + "Start: 17.65043, end: 18.055596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_7.wav\n", + "Start: 22.656027, end: 23.035882\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_8.wav\n", + "Start: 23.660523, end: 24.082586\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC544686_9.wav\n", + "Start: 0.246857, end: 0.602336\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC547095_1.wav\n", + "Start: 4.186697, end: 4.502676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC547095_2.wav\n", + "Start: 5.332114, end: 5.667843\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC547095_3.wav\n", + "Start: 8.324023, end: 8.640002\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC547095_4.wav\n", + "Start: 16.687543, end: 17.052897\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC547095_5.wav\n", + "Start: 1.390461, end: 1.74647\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC69852_1.wav\n", + "Start: 0.535197, end: 0.852793\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC81916_1.wav\n", + "Start: 4.434487, end: 4.757957\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC81916_2.wav\n", + "Start: 12.009579, end: 12.271303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC81916_3.wav\n", + "Start: 15.138422, end: 15.397197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Circus aeruginosus\\XC81916_4.wav\n", + "Coracias garrulus\n", + "Start: 0.93, end: 1.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_1.wav\n", + "Start: 1.77, end: 1.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_2.wav\n", + "Start: 3.07, end: 3.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_3.wav\n", + "Start: 3.63, end: 3.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_4.wav\n", + "Start: 4.63, end: 4.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_5.wav\n", + "Start: 5.69, end: 6.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_6.wav\n", + "Start: 7.47, end: 7.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_7.wav\n", + "Start: 8.2, end: 8.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_8.wav\n", + "Start: 9.31, end: 9.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_9.wav\n", + "Start: 10.48, end: 10.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_10.wav\n", + "Start: 11.81, end: 12.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_11.wav\n", + "Start: 13.49, end: 13.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_12.wav\n", + "Start: 15.11, end: 15.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_13.wav\n", + "Start: 16.86, end: 17.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_14.wav\n", + "Start: 18.26, end: 18.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_15.wav\n", + "Start: 18.7, end: 18.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_16.wav\n", + "Start: 19.89, end: 20.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_17.wav\n", + "Start: 21.37, end: 21.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_18.wav\n", + "Start: 23.25, end: 23.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_19.wav\n", + "Start: 25.08, end: 25.46\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_20.wav\n", + "Start: 26.75, end: 26.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_21.wav\n", + "Start: 27.23, end: 27.36\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_22.wav\n", + "Start: 28.29, end: 28.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_23.wav\n", + "Start: 29.83, end: 30.18\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_24.wav\n", + "Start: 31.22, end: 31.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_25.wav\n", + "Start: 31.89, end: 32.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_26.wav\n", + "Start: 33.36, end: 34.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_27.wav\n", + "Start: 35.23, end: 35.39\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_28.wav\n", + "Start: 36.22, end: 36.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_29.wav\n", + "Start: 37.44, end: 40.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_30.wav\n", + "Start: 42.82, end: 42.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_31.wav\n", + "Start: 44.59, end: 44.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_32.wav\n", + "Start: 46.32, end: 46.47\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_33.wav\n", + "Start: 47.56, end: 47.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_34.wav\n", + "Start: 49.31, end: 49.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_35.wav\n", + "Start: 50.34, end: 51.09\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_36.wav\n", + "Start: 53.3, end: 53.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_37.wav\n", + "Start: 54.99, end: 55.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_38.wav\n", + "Start: 57.01, end: 57.16\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_39.wav\n", + "Start: 58.64, end: 58.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_40.wav\n", + "Start: 60.08, end: 60.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_41.wav\n", + "Start: 61.13, end: 61.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_42.wav\n", + "Start: 62.69, end: 62.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_43.wav\n", + "Start: 64.18, end: 64.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_44.wav\n", + "Start: 65.59, end: 65.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_45.wav\n", + "Start: 67.17, end: 67.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_46.wav\n", + "Start: 69.1, end: 69.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_47.wav\n", + "Start: 71.1, end: 71.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_48.wav\n", + "Start: 72.6, end: 72.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_49.wav\n", + "Start: 74.2, end: 74.39\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_50.wav\n", + "Start: 75.58, end: 75.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_51.wav\n", + "Start: 77.11, end: 77.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_52.wav\n", + "Start: 79.51, end: 79.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_53.wav\n", + "Start: 81.2, end: 81.4\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC120730_54.wav\n", + "Start: 0.631044, end: 0.924649\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC121174_1.wav\n", + "Start: 0.999945, end: 1.195999\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_1.wav\n", + "Start: 1.759707, end: 1.867553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_2.wav\n", + "Start: 2.230269, end: 2.377322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_3.wav\n", + "Start: 2.509666, end: 3.117489\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_4.wav\n", + "Start: 3.475299, end: 3.568428\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_5.wav\n", + "Start: 3.833122, end: 4.308587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_6.wav\n", + "Start: 4.529162, end: 5.480092\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_7.wav\n", + "Start: 5.509501, end: 5.798707\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_8.wav\n", + "Start: 5.833012, end: 6.367298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_9.wav\n", + "Start: 6.411412, end: 6.720233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_10.wav\n", + "Start: 6.764334, end: 6.970207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_11.wav\n", + "Start: 7.220191, end: 7.935837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_12.wav\n", + "Start: 8.264251, end: 8.372097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_13.wav\n", + "Start: 9.07303, end: 9.148994\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_14.wav\n", + "Start: 9.546043, end: 9.894048\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_15.wav\n", + "Start: 10.416093, end: 10.974869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_16.wav\n", + "Start: 11.141544, end: 11.264083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_17.wav\n", + "Start: 11.577794, end: 12.930651\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_18.wav\n", + "Start: 13.352206, end: 18.675449\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_19.wav\n", + "Start: 30.331664, end: 32.615859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_20.wav\n", + "Start: 36.037232, end: 37.135214\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_21.wav\n", + "Start: 50.722698, end: 52.830431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_22.wav\n", + "Start: 52.977476, end: 53.251966\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_23.wav\n", + "Start: 55.977311, end: 60.035928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_24.wav\n", + "Start: 60.447653, end: 63.016156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_25.wav\n", + "Start: 66.55516, end: 67.412938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC134051_26.wav\n", + "Start: 5.08772, end: 5.579421\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_1.wav\n", + "Start: 6.112093, end: 6.596969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_2.wav\n", + "Start: 7.259391, end: 7.703291\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_3.wav\n", + "Start: 9.301308, end: 9.827136\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_4.wav\n", + "Start: 10.393973, end: 10.626173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_5.wav\n", + "Start: 11.254447, end: 11.780297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_6.wav\n", + "Start: 13.514897, end: 14.033922\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_7.wav\n", + "Start: 14.682682, end: 15.160732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_8.wav\n", + "Start: 16.908987, end: 17.414361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_9.wav\n", + "Start: 18.431888, end: 18.848464\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_10.wav\n", + "Start: 20.077714, end: 20.480639\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141170_11.wav\n", + "Start: 2.140903, end: 2.631265\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_1.wav\n", + "Start: 3.659867, end: 4.377486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_2.wav\n", + "Start: 7.18817, end: 7.798148\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_3.wav\n", + "Start: 9.652002, end: 10.202184\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_4.wav\n", + "Start: 11.29057, end: 11.864675\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_5.wav\n", + "Start: 21.636273, end: 23.693438\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_6.wav\n", + "Start: 24.829686, end: 26.229051\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_7.wav\n", + "Start: 27.640369, end: 28.154677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_8.wav\n", + "Start: 28.932086, end: 29.434422\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_9.wav\n", + "Start: 31.874332, end: 32.448437\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_10.wav\n", + "Start: 33.237812, end: 33.84779\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_11.wav\n", + "Start: 34.278362, end: 34.756775\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_12.wav\n", + "Start: 36.287701, end: 36.760128\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_13.wav\n", + "Start: 37.447855, end: 38.661846\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_14.wav\n", + "Start: 39.612679, end: 40.126987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_15.wav\n", + "Start: 41.909066, end: 42.465211\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_16.wav\n", + "Start: 45.676576, end: 46.30449\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_17.wav\n", + "Start: 58.701397, end: 59.263529\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_18.wav\n", + "Start: 60.991804, end: 61.46423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_19.wav\n", + "Start: 62.169899, end: 63.132688\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_20.wav\n", + "Start: 76.91103, end: 77.951597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC141571_21.wav\n", + "Start: 3.453015, end: 10.591677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC185305_1.wav\n", + "Start: 0.26496, end: 0.539835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188143_1.wav\n", + "Start: 1.294992, end: 4.219492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188143_2.wav\n", + "Start: 1.65275, end: 2.4105\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188144_1.wav\n", + "Start: 2.536313, end: 3.488501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188144_2.wav\n", + "Start: 3.625755, end: 4.266287\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188144_3.wav\n", + "Start: 0.99971, end: 1.32896\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188145_1.wav\n", + "Start: 6.12397, end: 6.638783\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188145_2.wav\n", + "Start: 0.269486, end: 0.786892\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188146_1.wav\n", + "Start: 2.975122, end: 5.222622\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188146_2.wav\n", + "Start: 6.747922, end: 8.828329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188146_3.wav\n", + "Start: 0.743426, end: 1.007394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_1.wav\n", + "Start: 3.738677, end: 4.201958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_2.wav\n", + "Start: 6.432249, end: 6.690842\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_3.wav\n", + "Start: 13.91499, end: 14.173553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_4.wav\n", + "Start: 18.612579, end: 18.935797\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_5.wav\n", + "Start: 35.700596, end: 35.975346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_6.wav\n", + "Start: 39.854083, end: 40.193458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_7.wav\n", + "Start: 48.926031, end: 49.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_8.wav\n", + "Start: 68.470586, end: 68.761492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_9.wav\n", + "Start: 73.146626, end: 73.415969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188147_10.wav\n", + "Start: 7.062891, end: 12.242329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188148_1.wav\n", + "Start: 12.783333, end: 17.28152\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188148_2.wav\n", + "Start: 0.1728, end: 0.393956\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188149_1.wav\n", + "Start: 2.128896, end: 3.055084\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188149_2.wav\n", + "Start: 5.405184, end: 6.962684\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188149_3.wav\n", + "Start: 0.355145, end: 0.532708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_1.wav\n", + "Start: 1.054337, end: 1.237462\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_2.wav\n", + "Start: 2.452721, end: 2.624752\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_3.wav\n", + "Start: 7.729956, end: 8.290394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_4.wav\n", + "Start: 9.439092, end: 9.633311\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_5.wav\n", + "Start: 9.916318, end: 14.150318\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_6.wav\n", + "Start: 15.726271, end: 15.914927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC188150_7.wav\n", + "Start: 0.615199, end: 0.867489\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_1.wav\n", + "Start: 3.027308, end: 3.341549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_2.wav\n", + "Start: 5.457121, end: 5.851022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_3.wav\n", + "Start: 8.373782, end: 8.763261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_4.wav\n", + "Start: 11.480757, end: 11.77731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_5.wav\n", + "Start: 13.596332, end: 13.92386\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_6.wav\n", + "Start: 22.532202, end: 22.766782\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_7.wav\n", + "Start: 24.466316, end: 24.700873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_8.wav\n", + "Start: 28.631077, end: 29.029399\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_9.wav\n", + "Start: 32.370954, end: 32.574536\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_10.wav\n", + "Start: 34.756508, end: 34.946825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_11.wav\n", + "Start: 40.280018, end: 40.4836\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_12.wav\n", + "Start: 44.944905, end: 45.303408\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_13.wav\n", + "Start: 51.796181, end: 52.013052\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_14.wav\n", + "Start: 56.996601, end: 57.328551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_15.wav\n", + "Start: 61.373806, end: 61.595098\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC240134_16.wav\n", + "Start: 3.312924, end: 7.803785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_1.wav\n", + "Start: 10.859037, end: 11.245545\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_2.wav\n", + "Start: 14.06153, end: 14.374432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_3.wav\n", + "Start: 23.116854, end: 23.484972\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_4.wav\n", + "Start: 25.95126, end: 26.245727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_5.wav\n", + "Start: 36.543388, end: 36.74586\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_6.wav\n", + "Start: 45.037356, end: 45.267424\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_7.wav\n", + "Start: 51.718419, end: 52.104927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_8.wav\n", + "Start: 58.197025, end: 58.56512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_9.wav\n", + "Start: 58.822799, end: 59.38416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC312051_10.wav\n", + "Start: 0.786984, end: 3.304026\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_1.wav\n", + "Start: 4.978812, end: 5.079645\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_2.wav\n", + "Start: 7.635696, end: 7.970654\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_3.wav\n", + "Start: 8.923488, end: 9.092571\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_4.wav\n", + "Start: 9.642159, end: 9.752701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_5.wav\n", + "Start: 10.344591, end: 14.7153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_6.wav\n", + "Start: 14.998224, end: 15.394974\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_7.wav\n", + "Start: 16.416096, end: 16.812846\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_8.wav\n", + "Start: 17.489256, end: 22.386756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_9.wav\n", + "Start: 23.733096, end: 23.902221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_10.wav\n", + "Start: 24.591624, end: 24.793249\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_11.wav\n", + "Start: 25.437144, end: 25.547727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_12.wav\n", + "Start: 26.009496, end: 30.438704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_13.wav\n", + "Start: 30.848472, end: 31.011097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_14.wav\n", + "Start: 31.453344, end: 31.557427\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_15.wav\n", + "Start: 31.895616, end: 33.502074\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_16.wav\n", + "Start: 35.466312, end: 35.850062\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_17.wav\n", + "Start: 36.344352, end: 41.163852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_18.wav\n", + "Start: 42.035352, end: 42.191477\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_19.wav\n", + "Start: 43.147536, end: 43.258078\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_20.wav\n", + "Start: 43.830456, end: 44.116623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_21.wav\n", + "Start: 44.81256, end: 45.046727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC31615_22.wav\n", + "Start: 98.699061, end: 99.241941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_1.wav\n", + "Start: 103.490146, end: 104.738831\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_2.wav\n", + "Start: 225.09955, end: 225.45243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_3.wav\n", + "Start: 258.053527, end: 261.351622\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_4.wav\n", + "Start: 265.708404, end: 265.966273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_5.wav\n", + "Start: 394.429787, end: 395.257701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_6.wav\n", + "Start: 395.759883, end: 396.682808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_7.wav\n", + "Start: 397.60574, end: 397.972202\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_8.wav\n", + "Start: 399.091933, end: 399.92665\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_9.wav\n", + "Start: 400.313456, end: 401.887878\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_10.wav\n", + "Start: 403.570851, end: 407.289695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_11.wav\n", + "Start: 494.859339, end: 497.811357\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_12.wav\n", + "Start: 727.118371, end: 728.082022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC318427_13.wav\n", + "Start: 2.588205, end: 2.915955\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_1.wav\n", + "Start: 0.226383, end: 0.317613\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_2.wav\n", + "Start: 11.109682, end: 11.224557\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_3.wav\n", + "Start: 13.194437, end: 13.326208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_4.wav\n", + "Start: 15.238646, end: 15.353521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_5.wav\n", + "Start: 18.178251, end: 18.310022\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_6.wav\n", + "Start: 19.982557, end: 20.097432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_7.wav\n", + "Start: 23.361414, end: 23.472914\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_8.wav\n", + "Start: 25.81109, end: 25.929361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_9.wav\n", + "Start: 28.797999, end: 28.885854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_10.wav\n", + "Start: 31.237534, end: 31.342263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_11.wav\n", + "Start: 33.149967, end: 33.258092\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_12.wav\n", + "Start: 38.78928, end: 39.120426\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_13.wav\n", + "Start: 36.69101, end: 36.79576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_14.wav\n", + "Start: 41.975542, end: 42.114084\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_15.wav\n", + "Start: 43.641319, end: 43.773111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_16.wav\n", + "Start: 46.797171, end: 46.898546\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC432572_17.wav\n", + "Start: 2.783397, end: 3.238365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_1.wav\n", + "Start: 4.937853, end: 5.446353\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_2.wav\n", + "Start: 12.398158, end: 12.813002\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_3.wav\n", + "Start: 17.617027, end: 18.085371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_4.wav\n", + "Start: 20.975837, end: 22.032993\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_5.wav\n", + "Start: 22.86935, end: 23.337725\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_6.wav\n", + "Start: 25.545693, end: 26.14788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_7.wav\n", + "Start: 27.097971, end: 27.619846\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_8.wav\n", + "Start: 28.636869, end: 29.172119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_9.wav\n", + "Start: 30.978669, end: 35.635512\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477007_10.wav\n", + "Start: 0.776829, end: 1.049422\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477329_1.wav\n", + "Start: 2.588451, end: 2.85817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477329_2.wav\n", + "Start: 5.302954, end: 5.511079\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477329_3.wav\n", + "Start: 9.477309, end: 9.682496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477329_4.wav\n", + "Start: 14.698183, end: 14.915089\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477329_5.wav\n", + "Start: 18.230554, end: 18.456273\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477329_6.wav\n", + "Start: 1.188987, end: 2.0508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477330_1.wav\n", + "Start: 2.114146, end: 2.705115\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477330_2.wav\n", + "Start: 2.761406, end: 3.190562\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477330_3.wav\n", + "Start: 0.875757, end: 1.084569\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_1.wav\n", + "Start: 2.861013, end: 3.194513\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_2.wav\n", + "Start: 4.082709, end: 4.366302\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_3.wav\n", + "Start: 5.372969, end: 5.806188\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_4.wav\n", + "Start: 6.043032, end: 6.385844\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_5.wav\n", + "Start: 6.669463, end: 7.046557\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_6.wav\n", + "Start: 7.380041, end: 7.735354\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_7.wav\n", + "Start: 8.031405, end: 8.152936\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_8.wav\n", + "Start: 8.433442, end: 8.804317\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_9.wav\n", + "Start: 9.066106, end: 9.162731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_10.wav\n", + "Start: 9.465027, end: 9.570996\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_11.wav\n", + "Start: 9.80785, end: 9.9076\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC477331_12.wav\n", + "Start: 0.635257, end: 1.014985\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_1.wav\n", + "Start: 3.229518, end: 3.680221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_2.wav\n", + "Start: 7.161723, end: 7.452744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_3.wav\n", + "Start: 10.696449, end: 10.763886\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_4.wav\n", + "Start: 12.623513, end: 12.871926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_5.wav\n", + "Start: 15.104209, end: 15.341987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_6.wav\n", + "Start: 20.459531, end: 20.665382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_7.wav\n", + "Start: 26.691437, end: 26.91858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_8.wav\n", + "Start: 35.620523, end: 35.851203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_9.wav\n", + "Start: 39.485298, end: 39.751466\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_10.wav\n", + "Start: 42.693523, end: 42.927763\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_11.wav\n", + "Start: 46.796076, end: 47.030294\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Coracias garrulus\\XC496443_12.wav\n", + "Dendrocopos minor\n", + "Start: 0.092921, end: 0.562173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_1.wav\n", + "Start: 0.915275, end: 1.830535\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_2.wav\n", + "Start: 3.507778, end: 4.028141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_3.wav\n", + "Start: 5.403373, end: 6.239654\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_4.wav\n", + "Start: 8.265348, end: 8.985484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_5.wav\n", + "Start: 11.433964, end: 12.302785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_6.wav\n", + "Start: 20.321885, end: 22.036284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_7.wav\n", + "Start: 27.481469, end: 28.647637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_8.wav\n", + "Start: 35.245043, end: 36.346176\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_9.wav\n", + "Start: 38.11631, end: 38.83182\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_10.wav\n", + "Start: 40.992224, end: 42.051521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_11.wav\n", + "Start: 43.854199, end: 44.653338\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_12.wav\n", + "Start: 50.586346, end: 51.492333\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_13.wav\n", + "Start: 54.266029, end: 55.004759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_14.wav\n", + "Start: 57.276679, end: 58.317382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_15.wav\n", + "Start: 63.04709, end: 63.948428\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC120411_16.wav\n", + "Start: 0.412888, end: 2.132388\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_1.wav\n", + "Start: 3.172442, end: 4.034817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_2.wav\n", + "Start: 5.393674, end: 6.266487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_3.wav\n", + "Start: 8.644513, end: 9.909325\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_4.wav\n", + "Start: 11.785596, end: 12.914503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_5.wav\n", + "Start: 15.574757, end: 16.593913\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_6.wav\n", + "Start: 19.217578, end: 20.226297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_7.wav\n", + "Start: 28.891697, end: 30.067666\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_8.wav\n", + "Start: 32.576329, end: 33.679079\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_9.wav\n", + "Start: 36.255735, end: 37.478704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_10.wav\n", + "Start: 39.647687, end: 40.619812\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_11.wav\n", + "Start: 41.936863, end: 42.94555\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_12.wav\n", + "Start: 43.896774, end: 44.727774\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_13.wav\n", + "Start: 46.185949, end: 47.341012\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_14.wav\n", + "Start: 48.987315, end: 49.253877\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_15.wav\n", + "Start: 49.509958, end: 50.278239\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_16.wav\n", + "Start: 51.401925, end: 52.238144\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_17.wav\n", + "Start: 54.898406, end: 55.964593\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_18.wav\n", + "Start: 57.43845, end: 58.682356\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_19.wav\n", + "Start: 62.251991, end: 63.589959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_20.wav\n", + "Start: 65.241508, end: 66.302477\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_21.wav\n", + "Start: 69.323349, end: 71.163067\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_22.wav\n", + "Start: 72.239696, end: 73.112508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_23.wav\n", + "Start: 75.746629, end: 76.729192\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_24.wav\n", + "Start: 79.331959, end: 80.460866\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_25.wav\n", + "Start: 82.483496, end: 83.084527\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_26.wav\n", + "Start: 84.317972, end: 84.99741\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_27.wav\n", + "Start: 86.147222, end: 86.973003\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_28.wav\n", + "Start: 92.058313, end: 93.01475\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_29.wav\n", + "Start: 94.253413, end: 94.7656\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_30.wav\n", + "Start: 96.098342, end: 96.725498\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_31.wav\n", + "Start: 99.819559, end: 100.697591\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_32.wav\n", + "Start: 104.152269, end: 105.223675\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_33.wav\n", + "Start: 109.289848, end: 110.267192\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_34.wav\n", + "Start: 111.65742, end: 112.430951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_35.wav\n", + "Start: 113.272386, end: 113.674824\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_36.wav\n", + "Start: 118.519721, end: 119.716564\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_37.wav\n", + "Start: 126.693855, end: 128.340199\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_38.wav\n", + "Start: 129.228673, end: 129.892423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_39.wav\n", + "Start: 130.854092, end: 131.64328\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_40.wav\n", + "Start: 135.87669, end: 136.613628\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_41.wav\n", + "Start: 138.552621, end: 139.367934\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_42.wav\n", + "Start: 140.308701, end: 140.904514\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_43.wav\n", + "Start: 141.840045, end: 142.263389\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_44.wav\n", + "Start: 144.834789, end: 145.728507\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129156_45.wav\n", + "Start: 0.535652, end: 1.988759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_1.wav\n", + "Start: 4.496058, end: 6.125808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_2.wav\n", + "Start: 7.81824, end: 8.900938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_3.wav\n", + "Start: 11.550709, end: 12.924042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_4.wav\n", + "Start: 15.898608, end: 17.140852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_5.wav\n", + "Start: 18.867487, end: 20.098349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_6.wav\n", + "Start: 22.001621, end: 23.169785\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_7.wav\n", + "Start: 25.762582, end: 26.793988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_8.wav\n", + "Start: 37.467149, end: 38.925947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_9.wav\n", + "Start: 40.629775, end: 41.621294\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_10.wav\n", + "Start: 50.186035, end: 51.713223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_11.wav\n", + "Start: 55.969937, end: 57.149506\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_12.wav\n", + "Start: 58.220815, end: 58.756461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_13.wav\n", + "Start: 66.643088, end: 67.759981\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_14.wav\n", + "Start: 73.931374, end: 75.395864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129193_15.wav\n", + "Start: 0.098688, end: 1.590979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_1.wav\n", + "Start: 7.255084, end: 8.42141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_2.wav\n", + "Start: 16.477952, end: 18.110787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_3.wav\n", + "Start: 23.661263, end: 25.144573\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_4.wav\n", + "Start: 29.660314, end: 31.059883\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_5.wav\n", + "Start: 35.115084, end: 36.484767\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_6.wav\n", + "Start: 43.925256, end: 45.558091\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_7.wav\n", + "Start: 49.18265, end: 50.35494\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_8.wav\n", + "Start: 53.423256, end: 54.71516\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_9.wav\n", + "Start: 66.390297, end: 67.712134\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_10.wav\n", + "Start: 96.032668, end: 97.240854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_11.wav\n", + "Start: 99.938331, end: 101.409692\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_12.wav\n", + "Start: 105.399083, end: 106.954162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_13.wav\n", + "Start: 110.399289, end: 111.966341\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_14.wav\n", + "Start: 139.054777, end: 140.753394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_15.wav\n", + "Start: 148.768096, end: 150.281316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC129377_16.wav\n", + "Start: 0.778479, end: 2.079998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_1.wav\n", + "Start: 20.070157, end: 21.31086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_2.wav\n", + "Start: 32.306872, end: 33.304309\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_3.wav\n", + "Start: 33.644882, end: 34.283476\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_4.wav\n", + "Start: 46.143117, end: 47.250033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_5.wav\n", + "Start: 59.851642, end: 60.709193\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_6.wav\n", + "Start: 69.564382, end: 70.805085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_7.wav\n", + "Start: 75.865195, end: 76.491635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_8.wav\n", + "Start: 114.880365, end: 116.218369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC133548_9.wav\n", + "Start: 1.39, end: 2.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_1.wav\n", + "Start: 5.03, end: 6.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_2.wav\n", + "Start: 7.8, end: 8.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_3.wav\n", + "Start: 11.11, end: 12.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_4.wav\n", + "Start: 14.59, end: 16.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_5.wav\n", + "Start: 20.97, end: 22.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_6.wav\n", + "Start: 29.49, end: 30.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_7.wav\n", + "Start: 33.01, end: 34.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_8.wav\n", + "Start: 37.93, end: 39.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_9.wav\n", + "Start: 44.53, end: 46.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_10.wav\n", + "Start: 50.99, end: 52.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_11.wav\n", + "Start: 54.13, end: 55.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_12.wav\n", + "Start: 57.9, end: 59.46\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_13.wav\n", + "Start: 61.0, end: 62.64\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_14.wav\n", + "Start: 71.46, end: 73.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_15.wav\n", + "Start: 75.95, end: 77.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_16.wav\n", + "Start: 86.4, end: 87.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_17.wav\n", + "Start: 89.15, end: 89.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_18.wav\n", + "Start: 92.14, end: 93.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_19.wav\n", + "Start: 96.42, end: 97.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_20.wav\n", + "Start: 99.88, end: 101.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_21.wav\n", + "Start: 103.06, end: 104.052413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_22.wav\n", + "Start: 105.51, end: 106.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_23.wav\n", + "Start: 112.55, end: 114.09\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_24.wav\n", + "Start: 115.27, end: 116.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_25.wav\n", + "Start: 126.03, end: 127.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_26.wav\n", + "Start: 129.15, end: 131.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_27.wav\n", + "Start: 132.29, end: 133.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_28.wav\n", + "Start: 134.82, end: 136.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_29.wav\n", + "Start: 143.87, end: 145.52\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_30.wav\n", + "Start: 151.96, end: 153.52\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_31.wav\n", + "Start: 158.89, end: 160.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_32.wav\n", + "Start: 166.26, end: 167.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_33.wav\n", + "Start: 180.49, end: 182.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_34.wav\n", + "Start: 185.43, end: 187.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_35.wav\n", + "Start: 196.22, end: 198.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_36.wav\n", + "Start: 202.03, end: 203.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_37.wav\n", + "Start: 207.2, end: 208.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_38.wav\n", + "Start: 223.08, end: 224.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_39.wav\n", + "Start: 242.98, end: 244.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_40.wav\n", + "Start: 248.685667, end: 249.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_41.wav\n", + "Start: 251.74, end: 253.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_42.wav\n", + "Start: 268.23, end: 269.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_43.wav\n", + "Start: 272.0, end: 273.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_44.wav\n", + "Start: 274.83, end: 276.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_45.wav\n", + "Start: 298.21, end: 299.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_46.wav\n", + "Start: 310.45, end: 311.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_47.wav\n", + "Start: 314.83, end: 316.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_48.wav\n", + "Start: 319.0, end: 320.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_49.wav\n", + "Start: 323.16, end: 324.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_50.wav\n", + "Start: 325.78, end: 326.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_51.wav\n", + "Start: 329.05, end: 330.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_52.wav\n", + "Start: 335.23, end: 336.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_53.wav\n", + "Start: 338.1, end: 339.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_54.wav\n", + "Start: 346.27, end: 347.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_55.wav\n", + "Start: 349.7, end: 351.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_56.wav\n", + "Start: 353.79, end: 355.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_57.wav\n", + "Start: 361.23, end: 362.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_58.wav\n", + "Start: 364.65, end: 366.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_59.wav\n", + "Start: 368.81, end: 370.22\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_60.wav\n", + "Start: 371.96, end: 373.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_61.wav\n", + "Start: 375.86, end: 377.27\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_62.wav\n", + "Start: 390.23, end: 391.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_63.wav\n", + "Start: 394.54, end: 396.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_64.wav\n", + "Start: 399.03, end: 400.81\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC135278_65.wav\n", + "Start: 3.76, end: 4.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_1.wav\n", + "Start: 12.23, end: 13.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_2.wav\n", + "Start: 35.321462, end: 36.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_3.wav\n", + "Start: 51.48, end: 53.1\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_4.wav\n", + "Start: 67.52, end: 69.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_5.wav\n", + "Start: 76.95, end: 78.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_6.wav\n", + "Start: 91.29, end: 93.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_7.wav\n", + "Start: 100.65, end: 101.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_8.wav\n", + "Start: 113.32, end: 115.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_9.wav\n", + "Start: 119.31, end: 120.53\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_10.wav\n", + "Start: 143.85, end: 144.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC142515_11.wav\n", + "Start: 2.22, end: 3.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_1.wav\n", + "Start: 3.49, end: 3.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_2.wav\n", + "Start: 5.12, end: 5.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_3.wav\n", + "Start: 5.74, end: 6.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_4.wav\n", + "Start: 12.12, end: 12.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_5.wav\n", + "Start: 13.12, end: 13.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_6.wav\n", + "Start: 22.16, end: 22.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_7.wav\n", + "Start: 24.75, end: 25.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_8.wav\n", + "Start: 25.67, end: 26.16\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_9.wav\n", + "Start: 34.19, end: 34.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_10.wav\n", + "Start: 39.743995, end: 40.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_11.wav\n", + "Start: 44.61, end: 45.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_12.wav\n", + "Start: 48.72, end: 49.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_13.wav\n", + "Start: 50.59, end: 51.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_14.wav\n", + "Start: 51.49, end: 51.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_15.wav\n", + "Start: 56.48, end: 57.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_16.wav\n", + "Start: 57.31, end: 57.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_17.wav\n", + "Start: 62.65, end: 63.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_18.wav\n", + "Start: 63.86, end: 64.4\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_19.wav\n", + "Start: 66.18, end: 66.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_20.wav\n", + "Start: 68.29, end: 68.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_21.wav\n", + "Start: 73.1, end: 73.81\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_22.wav\n", + "Start: 78.04, end: 78.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_23.wav\n", + "Start: 78.93, end: 79.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_24.wav\n", + "Start: 85.08, end: 85.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_25.wav\n", + "Start: 88.8, end: 89.55\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_26.wav\n", + "Start: 90.12, end: 90.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_27.wav\n", + "Start: 100.03, end: 100.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_28.wav\n", + "Start: 105.49, end: 106.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_29.wav\n", + "Start: 114.72, end: 116.1\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC150591_30.wav\n", + "Start: 1.28, end: 2.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC153193_1.wav\n", + "Start: 27.99, end: 29.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC153193_2.wav\n", + "Start: 2.43, end: 3.71\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_1.wav\n", + "Start: 6.96, end: 8.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_2.wav\n", + "Start: 12.59, end: 14.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_3.wav\n", + "Start: 21.56, end: 23.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_4.wav\n", + "Start: 32.23, end: 33.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_5.wav\n", + "Start: 36.83, end: 38.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_6.wav\n", + "Start: 40.66, end: 42.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_7.wav\n", + "Start: 50.74, end: 52.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_8.wav\n", + "Start: 54.24, end: 55.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_9.wav\n", + "Start: 61.92, end: 63.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_10.wav\n", + "Start: 64.98, end: 66.39\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_11.wav\n", + "Start: 82.76, end: 84.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_12.wav\n", + "Start: 89.56, end: 90.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_13.wav\n", + "Start: 91.87, end: 93.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_14.wav\n", + "Start: 94.5, end: 95.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_15.wav\n", + "Start: 97.65, end: 99.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_16.wav\n", + "Start: 104.83, end: 106.46\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_17.wav\n", + "Start: 108.68, end: 109.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_18.wav\n", + "Start: 112.67, end: 114.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_19.wav\n", + "Start: 116.24, end: 117.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_20.wav\n", + "Start: 120.21, end: 121.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_21.wav\n", + "Start: 125.3, end: 126.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_22.wav\n", + "Start: 127.45, end: 128.65\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_23.wav\n", + "Start: 130.27, end: 131.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_24.wav\n", + "Start: 138.52, end: 140.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_25.wav\n", + "Start: 146.82, end: 148.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_26.wav\n", + "Start: 151.89, end: 153.27\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_27.wav\n", + "Start: 160.88, end: 161.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_28.wav\n", + "Start: 163.34, end: 164.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_29.wav\n", + "Start: 166.68, end: 167.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_30.wav\n", + "Start: 171.02, end: 172.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_31.wav\n", + "Start: 176.25, end: 177.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_32.wav\n", + "Start: 179.31, end: 180.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_33.wav\n", + "Start: 183.08, end: 184.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_34.wav\n", + "Start: 186.64, end: 187.71\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_35.wav\n", + "Start: 189.23, end: 190.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_36.wav\n", + "Start: 196.92, end: 198.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_37.wav\n", + "Start: 202.22, end: 203.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_38.wav\n", + "Start: 213.32, end: 214.55\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_39.wav\n", + "Start: 216.43, end: 217.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_40.wav\n", + "Start: 227.43, end: 228.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_41.wav\n", + "Start: 231.48, end: 232.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_42.wav\n", + "Start: 238.59, end: 239.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC171122_43.wav\n", + "Start: 0.43, end: 1.53\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_1.wav\n", + "Start: 3.86, end: 4.55\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_2.wav\n", + "Start: 4.76, end: 5.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_3.wav\n", + "Start: 7.51, end: 8.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_4.wav\n", + "Start: 19.89, end: 20.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_5.wav\n", + "Start: 20.98, end: 21.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_6.wav\n", + "Start: 25.46, end: 26.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_7.wav\n", + "Start: 33.05, end: 33.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_8.wav\n", + "Start: 42.13, end: 42.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_9.wav\n", + "Start: 52.0, end: 52.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_10.wav\n", + "Start: 59.65, end: 60.190638\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_11.wav\n", + "Start: 67.74, end: 68.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_12.wav\n", + "Start: 75.08, end: 75.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_13.wav\n", + "Start: 109.91, end: 111.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_14.wav\n", + "Start: 113.5, end: 114.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_15.wav\n", + "Start: 117.4, end: 118.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC197138_16.wav\n", + "Start: 3.257309, end: 4.14683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_1.wav\n", + "Start: 9.829522, end: 11.211793\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_2.wav\n", + "Start: 12.747662, end: 14.30912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_3.wav\n", + "Start: 15.915379, end: 16.984087\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_4.wav\n", + "Start: 17.732817, end: 18.974317\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_5.wav\n", + "Start: 26.20566, end: 28.247077\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_6.wav\n", + "Start: 29.571759, end: 30.326905\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_7.wav\n", + "Start: 30.864444, end: 31.625986\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_8.wav\n", + "Start: 33.437014, end: 34.787285\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_9.wav\n", + "Start: 35.670415, end: 36.783915\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_10.wav\n", + "Start: 43.842485, end: 45.275964\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_11.wav\n", + "Start: 49.288399, end: 49.793961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_12.wav\n", + "Start: 50.50429, end: 51.073832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_13.wav\n", + "Start: 57.774041, end: 59.01552\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_14.wav\n", + "Start: 62.586411, end: 63.539911\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_15.wav\n", + "Start: 65.344565, end: 66.650044\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_16.wav\n", + "Start: 71.724795, end: 73.247858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_17.wav\n", + "Start: 79.039342, end: 80.120863\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_18.wav\n", + "Start: 80.792786, end: 81.375119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_19.wav\n", + "Start: 84.190882, end: 85.400382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236456_20.wav\n", + "Start: 0.608037, end: 1.099828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236458_1.wav\n", + "Start: 5.704814, end: 6.13848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236458_2.wav\n", + "Start: 8.002834, end: 8.490168\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236458_3.wav\n", + "Start: 13.832832, end: 14.329103\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236458_4.wav\n", + "Start: 17.029495, end: 17.847662\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236458_5.wav\n", + "Start: 24.844553, end: 25.35422\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC236458_6.wav\n", + "Start: 4.109184, end: 5.082788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_1.wav\n", + "Start: 28.384869, end: 29.444369\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_2.wav\n", + "Start: 41.585801, end: 42.623843\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_3.wav\n", + "Start: 82.835136, end: 83.80874\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_4.wav\n", + "Start: 89.95104, end: 90.946123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_5.wav\n", + "Start: 99.336302, end: 100.123781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_6.wav\n", + "Start: 112.981083, end: 113.59675\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_7.wav\n", + "Start: 121.170816, end: 121.98692\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC308991_8.wav\n", + "Start: 1.747637, end: 2.867909\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_1.wav\n", + "Start: 3.904168, end: 4.738771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_2.wav\n", + "Start: 5.030049, end: 5.590185\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_3.wav\n", + "Start: 16.720177, end: 18.092513\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_4.wav\n", + "Start: 29.838655, end: 30.902918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_5.wav\n", + "Start: 31.687117, end: 32.35367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_6.wav\n", + "Start: 41.551181, end: 42.845104\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_7.wav\n", + "Start: 43.956982, end: 44.662764\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_8.wav\n", + "Start: 47.093766, end: 48.062813\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC310709_9.wav\n", + "Start: 2.106062, end: 2.882458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_1.wav\n", + "Start: 6.280992, end: 7.368888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_2.wav\n", + "Start: 9.242496, end: 10.232767\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_3.wav\n", + "Start: 12.190053, end: 13.147761\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_4.wav\n", + "Start: 16.32779, end: 17.429644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_5.wav\n", + "Start: 19.605435, end: 20.623598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_6.wav\n", + "Start: 23.5944, end: 24.542837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_7.wav\n", + "Start: 28.503895, end: 29.619687\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC312823_8.wav\n", + "Start: 1.49904, end: 2.717269\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC314610_1.wav\n", + "Start: 5.4, end: 6.475687\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC314610_2.wav\n", + "Start: 1.683749, end: 2.903613\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC329937_1.wav\n", + "Start: 12.327445, end: 13.547309\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC329937_2.wav\n", + "Start: 42.991427, end: 44.645101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC329937_3.wav\n", + "Start: 47.46281, end: 48.880248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC329937_4.wav\n", + "Start: 57.002621, end: 57.595364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC329937_5.wav\n", + "Start: 2.426167, end: 3.597313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_1.wav\n", + "Start: 13.243903, end: 14.544111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_2.wav\n", + "Start: 30.933627, end: 32.201565\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_3.wav\n", + "Start: 34.801944, end: 35.915027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_4.wav\n", + "Start: 39.344554, end: 40.347929\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_5.wav\n", + "Start: 44.816335, end: 45.813252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_6.wav\n", + "Start: 54.685543, end: 55.65021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_7.wav\n", + "Start: 58.957145, end: 60.015374\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_8.wav\n", + "Start: 69.684545, end: 70.746003\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_9.wav\n", + "Start: 73.559314, end: 74.62721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_10.wav\n", + "Start: 81.150765, end: 82.163806\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC356856_11.wav\n", + "Start: 2.074242, end: 3.622178\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC364346_1.wav\n", + "Start: 9.674636, end: 11.106495\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC364346_2.wav\n", + "Start: 15.247226, end: 16.802895\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC364346_3.wav\n", + "Start: 21.175842, end: 22.522554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC364346_4.wav\n", + "Start: 23.822823, end: 24.914138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC364346_5.wav\n", + "Start: 2.800877, end: 4.346274\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_1.wav\n", + "Start: 15.188615, end: 16.421971\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_2.wav\n", + "Start: 29.866193, end: 31.659731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_3.wav\n", + "Start: 39.598006, end: 41.096713\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_4.wav\n", + "Start: 80.227927, end: 81.697156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_5.wav\n", + "Start: 113.376551, end: 114.929318\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_6.wav\n", + "Start: 133.6264, end: 135.321684\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC383514_7.wav\n", + "Start: 0.99952, end: 1.905325\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_1.wav\n", + "Start: 17.446475, end: 17.859468\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_2.wav\n", + "Start: 21.090556, end: 21.895704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_3.wav\n", + "Start: 26.067331, end: 26.775335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_4.wav\n", + "Start: 31.377278, end: 32.137323\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_5.wav\n", + "Start: 34.611834, end: 35.142832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_6.wav\n", + "Start: 35.982703, end: 36.777465\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_7.wav\n", + "Start: 41.97635, end: 42.823175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_8.wav\n", + "Start: 46.411718, end: 47.109291\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_9.wav\n", + "Start: 58.805066, end: 59.599828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_10.wav\n", + "Start: 66.22511, end: 67.235042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_11.wav\n", + "Start: 70.223188, end: 71.212281\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_12.wav\n", + "Start: 78.844044, end: 79.885223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_13.wav\n", + "Start: 83.751408, end: 84.681521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_14.wav\n", + "Start: 93.760485, end: 94.999487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC400197_15.wav\n", + "Start: 1.114406, end: 2.352635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_1.wav\n", + "Start: 11.511531, end: 12.609948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_2.wav\n", + "Start: 16.065017, end: 17.183413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_3.wav\n", + "Start: 24.457011, end: 25.53147\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_4.wav\n", + "Start: 30.092949, end: 31.115469\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_5.wav\n", + "Start: 43.00248, end: 44.148834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_6.wav\n", + "Start: 48.826149, end: 49.401336\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_7.wav\n", + "Start: 51.22272, end: 52.105449\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC401830_8.wav\n", + "Start: 8.62, end: 9.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_1.wav\n", + "Start: 15.23, end: 16.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_2.wav\n", + "Start: 20.23, end: 21.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_3.wav\n", + "Start: 24.25, end: 25.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_4.wav\n", + "Start: 28.941308, end: 30.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_5.wav\n", + "Start: 37.95, end: 39.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_6.wav\n", + "Start: 58.83, end: 60.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_7.wav\n", + "Start: 70.78, end: 72.159269\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_8.wav\n", + "Start: 77.32, end: 79.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_9.wav\n", + "Start: 91.56, end: 92.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_10.wav\n", + "Start: 98.13, end: 99.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC405096_11.wav\n", + "Start: 0.922137, end: 2.221525\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC407219_1.wav\n", + "Start: 9.7034, end: 11.453365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC407219_2.wav\n", + "Start: 2.02284, end: 3.553883\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC459694_1.wav\n", + "Start: 13.629582, end: 15.190534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC459694_2.wav\n", + "Start: 19.411569, end: 20.938327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC459694_3.wav\n", + "Start: 1.10686, end: 1.940284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_1.wav\n", + "Start: 5.099464, end: 6.265632\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_2.wav\n", + "Start: 6.786108, end: 7.642616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_3.wav\n", + "Start: 10.528351, end: 11.549575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_4.wav\n", + "Start: 12.778322, end: 13.766599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_5.wav\n", + "Start: 16.418429, end: 17.508815\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_6.wav\n", + "Start: 18.174253, end: 18.912144\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_7.wav\n", + "Start: 28.047052, end: 28.962857\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_8.wav\n", + "Start: 29.8457, end: 30.609963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_9.wav\n", + "Start: 32.672147, end: 33.726297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_10.wav\n", + "Start: 41.63574, end: 42.577894\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_11.wav\n", + "Start: 44.435833, end: 45.473521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_12.wav\n", + "Start: 47.562055, end: 48.645842\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_13.wav\n", + "Start: 49.65389, end: 50.428017\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_14.wav\n", + "Start: 51.360299, end: 52.371637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_15.wav\n", + "Start: 53.481782, end: 54.394276\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_16.wav\n", + "Start: 55.800918, end: 56.670601\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_17.wav\n", + "Start: 57.889458, end: 59.009504\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_18.wav\n", + "Start: 60.310715, end: 61.282507\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_19.wav\n", + "Start: 64.777688, end: 65.993266\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_20.wav\n", + "Start: 67.370245, end: 68.358499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_21.wav\n", + "Start: 72.930901, end: 73.952102\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_22.wav\n", + "Start: 76.449135, end: 77.427525\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_23.wav\n", + "Start: 87.040077, end: 87.735156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC466742_24.wav\n", + "Start: 0.10952, end: 0.654736\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC470657_1.wav\n", + "Start: 5.964091, end: 7.11883\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC470657_2.wav\n", + "Start: 12.866247, end: 13.675748\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC470657_3.wav\n", + "Start: 18.770816, end: 20.066008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC470657_4.wav\n", + "Start: 25.461073, end: 26.251527\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC470657_5.wav\n", + "Start: 4.530533, end: 5.118855\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_1.wav\n", + "Start: 16.653466, end: 18.311085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_2.wav\n", + "Start: 18.779166, end: 19.2086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_3.wav\n", + "Start: 28.982528, end: 29.600918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_4.wav\n", + "Start: 37.107427, end: 38.090828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_5.wav\n", + "Start: 51.97874, end: 52.652958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_6.wav\n", + "Start: 58.184067, end: 58.802457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_7.wav\n", + "Start: 59.54108, end: 59.949039\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_8.wav\n", + "Start: 71.105748, end: 72.23085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_9.wav\n", + "Start: 82.176567, end: 84.040309\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_10.wav\n", + "Start: 102.38575, end: 103.489378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_11.wav\n", + "Start: 112.876833, end: 113.886016\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC484626_12.wav\n", + "Start: 1.101024, end: 2.129799\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500750_1.wav\n", + "Start: 4.366248, end: 5.377813\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500750_2.wav\n", + "Start: 7.703727, end: 8.574226\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500750_3.wav\n", + "Start: 12.365875, end: 13.232927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500750_4.wav\n", + "Start: 17.427144, end: 18.373334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500750_5.wav\n", + "Start: 22.557227, end: 23.561912\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500750_6.wav\n", + "Start: 0.701518, end: 1.806847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_1.wav\n", + "Start: 4.736104, end: 5.783247\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_2.wav\n", + "Start: 9.318217, end: 10.269555\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_3.wav\n", + "Start: 16.056216, end: 16.750887\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_4.wav\n", + "Start: 19.943654, end: 20.973699\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_5.wav\n", + "Start: 24.098011, end: 25.097263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_6.wav\n", + "Start: 31.972127, end: 32.991901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_7.wav\n", + "Start: 40.859167, end: 41.834451\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_8.wav\n", + "Start: 44.298318, end: 45.273602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC500751_9.wav\n", + "Start: 1.255445, end: 2.052565\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC519985_1.wav\n", + "Start: 10.385651, end: 11.156196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC519985_2.wav\n", + "Start: 6.659172, end: 7.535997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC519985_3.wav\n", + "Start: 15.27458, end: 16.12814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC519985_4.wav\n", + "Start: 18.97781, end: 19.512549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC519985_5.wav\n", + "Start: 1.673947, end: 2.882697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_1.wav\n", + "Start: 5.495364, end: 6.650114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_2.wav\n", + "Start: 9.183862, end: 10.400904\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_3.wav\n", + "Start: 13.179735, end: 14.355235\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_4.wav\n", + "Start: 16.60655, end: 17.611758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_5.wav\n", + "Start: 20.614884, end: 21.645009\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_6.wav\n", + "Start: 25.84441, end: 27.011598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_7.wav\n", + "Start: 30.554722, end: 31.771764\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_8.wav\n", + "Start: 32.843419, end: 33.603544\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_9.wav\n", + "Start: 37.578653, end: 38.716778\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_10.wav\n", + "Start: 42.068818, end: 43.368943\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC528227_11.wav\n", + "Start: 0.304722, end: 1.983271\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC534240_1.wav\n", + "Start: 8.516724, end: 9.999015\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC534240_2.wav\n", + "Start: 14.719627, end: 16.165749\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC534240_3.wav\n", + "Start: 25.085343, end: 26.583121\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC534240_4.wav\n", + "Start: 0.329076, end: 1.738373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC539614_1.wav\n", + "Start: 8.870736, end: 10.251423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC539614_2.wav\n", + "Start: 10.745037, end: 11.76803\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC539614_3.wav\n", + "Start: 16.060324, end: 17.473204\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC539614_4.wav\n", + "Start: 17.941779, end: 18.717969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC539614_5.wav\n", + "Start: 26.454824, end: 27.635186\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC539614_6.wav\n", + "Start: 3.580343, end: 5.052701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC544857_1.wav\n", + "Start: 15.02, end: 16.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_1.wav\n", + "Start: 17.689964, end: 18.92057\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_2.wav\n", + "Start: 20.450732, end: 21.478936\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_3.wav\n", + "Start: 24.45, end: 25.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_4.wav\n", + "Start: 27.219066, end: 28.28775\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_5.wav\n", + "Start: 31.178055, end: 32.416758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_6.wav\n", + "Start: 34.116937, end: 35.606618\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_7.wav\n", + "Start: 38.585981, end: 40.05947\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_8.wav\n", + "Start: 42.658316, end: 44.075132\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_9.wav\n", + "Start: 51.418289, end: 52.373628\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_10.wav\n", + "Start: 77.244826, end: 77.90061\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_11.wav\n", + "Start: 90.1, end: 90.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC550870_12.wav\n", + "Start: 0.372261, end: 2.383886\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552628_1.wav\n", + "Start: 5.17226, end: 6.493052\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552628_2.wav\n", + "Start: 8.855506, end: 10.46984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552628_3.wav\n", + "Start: 12.331131, end: 13.845236\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552628_4.wav\n", + "Start: 17.47477, end: 19.303854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552628_5.wav\n", + "Start: 22.349952, end: 24.075223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552628_6.wav\n", + "Start: 1.319451, end: 2.561931\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552636_1.wav\n", + "Start: 5.39509, end: 7.128715\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552636_2.wav\n", + "Start: 11.255654, end: 13.293487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552636_3.wav\n", + "Start: 16.881648, end: 18.15346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552636_4.wav\n", + "Start: 21.954206, end: 23.607185\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Dendrocopos minor\\XC552636_5.wav\n", + "Fulica atra\n", + "Start: 0.463875, end: 0.634419\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC436382_1.wav\n", + "Start: 1.664493, end: 1.828211\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC436382_2.wav\n", + "Start: 4.618285, end: 4.829759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC436382_3.wav\n", + "Start: 5.982623, end: 6.166795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC436382_4.wav\n", + "Start: 7.797193, end: 7.947283\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC436382_5.wav\n", + "Start: 3.351421, end: 4.55523\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC436465_1.wav\n", + "Start: 2.061494, end: 2.236324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC439336_1.wav\n", + "Start: 3.78062, end: 4.556425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC439336_2.wav\n", + "Start: 0.463896, end: 0.6705\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_1.wav\n", + "Start: 0.966775, end: 1.411192\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_2.wav\n", + "Start: 1.964736, end: 2.479319\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_3.wav\n", + "Start: 3.067951, end: 3.372013\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_4.wav\n", + "Start: 3.746253, end: 4.038628\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_5.wav\n", + "Start: 4.724722, end: 4.935222\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_6.wav\n", + "Start: 5.672006, end: 5.863027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_7.wav\n", + "Start: 6.447765, end: 6.658265\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_8.wav\n", + "Start: 7.23132, end: 7.488612\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_9.wav\n", + "Start: 8.237078, end: 8.400807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448652_10.wav\n", + "Start: 0.22, end: 0.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_1.wav\n", + "Start: 0.89, end: 1.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_2.wav\n", + "Start: 1.68, end: 1.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_3.wav\n", + "Start: 2.32, end: 2.47\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_4.wav\n", + "Start: 2.68, end: 3.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_5.wav\n", + "Start: 3.33, end: 3.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_6.wav\n", + "Start: 4.26, end: 4.41\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_7.wav\n", + "Start: 4.65, end: 5.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_8.wav\n", + "Start: 5.73, end: 5.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_9.wav\n", + "Start: 6.42, end: 6.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_10.wav\n", + "Start: 7.1, end: 7.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_11.wav\n", + "Start: 7.8, end: 7.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_12.wav\n", + "Start: 8.9, end: 10.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_13.wav\n", + "Start: 10.25, end: 11.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_14.wav\n", + "Start: 11.73, end: 11.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_15.wav\n", + "Start: 12.33, end: 12.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_16.wav\n", + "Start: 12.87, end: 13.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_17.wav\n", + "Start: 13.51, end: 13.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_18.wav\n", + "Start: 14.21, end: 14.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_19.wav\n", + "Start: 14.77, end: 14.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_20.wav\n", + "Start: 15.36, end: 15.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_21.wav\n", + "Start: 15.97, end: 16.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_22.wav\n", + "Start: 16.57, end: 16.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_23.wav\n", + "Start: 17.28, end: 17.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_24.wav\n", + "Start: 18.02, end: 18.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_25.wav\n", + "Start: 18.63, end: 18.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_26.wav\n", + "Start: 19.36, end: 19.52\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_27.wav\n", + "Start: 20.02, end: 20.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_28.wav\n", + "Start: 20.7, end: 20.86\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_29.wav\n", + "Start: 22.74, end: 22.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC448653_30.wav\n", + "Start: 0.63, end: 0.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_1.wav\n", + "Start: 1.23, end: 1.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_2.wav\n", + "Start: 1.98, end: 2.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_3.wav\n", + "Start: 2.58, end: 2.72\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_4.wav\n", + "Start: 3.06, end: 3.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_5.wav\n", + "Start: 3.72, end: 3.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_6.wav\n", + "Start: 4.34, end: 4.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_7.wav\n", + "Start: 5.59, end: 5.72\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_8.wav\n", + "Start: 6.26, end: 6.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_9.wav\n", + "Start: 6.93, end: 7.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_10.wav\n", + "Start: 7.61, end: 7.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_11.wav\n", + "Start: 8.26, end: 8.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_12.wav\n", + "Start: 8.99, end: 9.18\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_13.wav\n", + "Start: 9.58, end: 9.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_14.wav\n", + "Start: 10.1, end: 10.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_15.wav\n", + "Start: 10.77, end: 10.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_16.wav\n", + "Start: 11.37, end: 11.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_17.wav\n", + "Start: 11.89, end: 12.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_18.wav\n", + "Start: 12.41, end: 12.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_19.wav\n", + "Start: 13.07, end: 13.27\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_20.wav\n", + "Start: 13.71, end: 13.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_21.wav\n", + "Start: 14.16, end: 14.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_22.wav\n", + "Start: 14.7, end: 14.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_23.wav\n", + "Start: 15.15, end: 16.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_24.wav\n", + "Start: 16.86, end: 17.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_25.wav\n", + "Start: 17.59, end: 17.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC457036_26.wav\n", + "Start: 1.66, end: 1.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458081_1.wav\n", + "Start: 2.34, end: 2.55\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458081_2.wav\n", + "Start: 2.95, end: 3.18\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458081_3.wav\n", + "Start: 3.5, end: 3.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458081_4.wav\n", + "Start: 5.44, end: 5.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458081_5.wav\n", + "Start: 5.99, end: 6.22\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458081_6.wav\n", + "Start: 3.54, end: 3.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458082_1.wav\n", + "Start: 4.63, end: 5.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458082_2.wav\n", + "Start: 5.73, end: 6.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458082_3.wav\n", + "Start: 7.39, end: 7.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458082_4.wav\n", + "Start: 4.85, end: 5.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458084_1.wav\n", + "Start: 8.17, end: 8.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458084_2.wav\n", + "Start: 17.3, end: 17.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458084_3.wav\n", + "Start: 19.39, end: 19.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC458084_4.wav\n", + "Start: 2.24, end: 2.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_1.wav\n", + "Start: 3.14, end: 3.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_2.wav\n", + "Start: 3.9, end: 4.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_3.wav\n", + "Start: 4.75, end: 4.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_4.wav\n", + "Start: 7.1, end: 7.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_5.wav\n", + "Start: 7.69, end: 7.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_6.wav\n", + "Start: 8.52, end: 8.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_7.wav\n", + "Start: 9.44, end: 9.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_8.wav\n", + "Start: 10.11, end: 10.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_9.wav\n", + "Start: 10.91, end: 11.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_10.wav\n", + "Start: 11.93, end: 12.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459669_11.wav\n", + "Start: 0.614221, end: 0.730298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459686_1.wav\n", + "Start: 2.326301, end: 2.47138\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459686_2.wav\n", + "Start: 3.990017, end: 4.135097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459686_3.wav\n", + "Start: 5.639225, end: 5.808499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459686_4.wav\n", + "Start: 7.481887, end: 7.651162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC459686_5.wav\n", + "Start: 1.248444, end: 3.660485\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC461324_1.wav\n", + "Start: 1.372638, end: 1.547173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC462116_1.wav\n", + "Start: 2.051881, end: 2.235849\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC462116_2.wav\n", + "Start: 4.566025, end: 4.698088\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC462116_3.wav\n", + "Start: 5.410362, end: 6.830158\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC462116_4.wav\n", + "Start: 2.086766, end: 2.297423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC463603_1.wav\n", + "Start: 0.903168, end: 1.133564\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC466805_1.wav\n", + "Start: 1.645056, end: 1.843202\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC466805_2.wav\n", + "Start: 3.43296, end: 3.66796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC466805_3.wav\n", + "Start: 4.151808, end: 4.534266\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC466805_4.wav\n", + "Start: 6.465024, end: 7.119357\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC466805_5.wav\n", + "Start: 38.5915, end: 39.625627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467261_1.wav\n", + "Start: 42.892508, end: 43.785592\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467261_2.wav\n", + "Start: 6.900637, end: 7.20236\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467596_1.wav\n", + "Start: 11.569769, end: 12.059678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467596_2.wav\n", + "Start: 17.126126, end: 17.568257\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467596_3.wav\n", + "Start: 20.970766, end: 21.388975\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467596_4.wav\n", + "Start: 24.436021, end: 24.770579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467596_5.wav\n", + "Start: 28.427039, end: 29.287379\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC467596_6.wav\n", + "Start: 3.077747, end: 3.478563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_1.wav\n", + "Start: 3.836447, end: 4.552207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_2.wav\n", + "Start: 5.511314, end: 6.513378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_3.wav\n", + "Start: 7.601319, end: 8.574743\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_4.wav\n", + "Start: 10.235298, end: 11.480695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_5.wav\n", + "Start: 13.32736, end: 14.329401\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_6.wav\n", + "Start: 18.452167, end: 19.583051\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_7.wav\n", + "Start: 20.599432, end: 21.558547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC468672_8.wav\n", + "Start: 5.340302, end: 5.887093\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC469783_1.wav\n", + "Start: 7.764398, end: 8.256502\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC469783_2.wav\n", + "Start: 26.847319, end: 27.375881\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC469783_3.wav\n", + "Start: 2.699232, end: 3.147024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC480979_1.wav\n", + "Start: 6.144795, end: 6.542837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC480979_2.wav\n", + "Start: 14.939067, end: 15.113213\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC480979_3.wav\n", + "Start: 16.580997, end: 17.470372\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC480979_4.wav\n", + "Start: 5.74992, end: 6.071024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_1.wav\n", + "Start: 6.967111, end: 7.482361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_2.wav\n", + "Start: 13.433904, end: 13.829696\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_3.wav\n", + "Start: 15.091673, end: 15.554652\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_4.wav\n", + "Start: 17.010738, end: 17.427738\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_5.wav\n", + "Start: 18.991415, end: 19.382332\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_6.wav\n", + "Start: 21.582677, end: 21.973614\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC482370_7.wav\n", + "Start: 0.586188, end: 0.837412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_1.wav\n", + "Start: 1.808808, end: 1.993048\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_2.wav\n", + "Start: 3.031428, end: 3.215668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_3.wav\n", + "Start: 4.203804, end: 4.421513\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_4.wav\n", + "Start: 5.568784, end: 5.744657\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_5.wav\n", + "Start: 7.318973, end: 7.478066\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_6.wav\n", + "Start: 9.353882, end: 9.512997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_7.wav\n", + "Start: 11.380424, end: 11.535345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_8.wav\n", + "Start: 13.39439, end: 13.561873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483334_9.wav\n", + "Start: 4.682606, end: 11.06688\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483554_1.wav\n", + "Start: 11.549623, end: 13.51679\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483554_2.wav\n", + "Start: 13.734034, end: 14.277118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483554_3.wav\n", + "Start: 0.36649, end: 0.484722\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483692_1.wav\n", + "Start: 1.046271, end: 1.120149\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483692_2.wav\n", + "Start: 1.726052, end: 1.832447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483692_3.wav\n", + "Start: 2.736856, end: 2.863954\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483692_4.wav\n", + "Start: 3.697416, end: 3.83338\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483692_5.wav\n", + "Start: 4.796888, end: 4.971264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483692_6.wav\n", + "Start: 2.009787, end: 2.822825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_1.wav\n", + "Start: 4.570742, end: 5.657839\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_2.wav\n", + "Start: 6.084172, end: 6.218163\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_3.wav\n", + "Start: 6.748011, end: 6.869825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_4.wav\n", + "Start: 7.381398, end: 7.54582\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_5.wav\n", + "Start: 8.075688, end: 8.246209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_6.wav\n", + "Start: 8.910054, end: 9.135405\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_7.wav\n", + "Start: 9.683517, end: 9.890592\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_8.wav\n", + "Start: 10.383897, end: 10.560519\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_9.wav\n", + "Start: 10.865028, end: 11.005096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_10.wav\n", + "Start: 11.583679, end: 11.7664\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_11.wav\n", + "Start: 32.588994, end: 32.735162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_12.wav\n", + "Start: 33.584752, end: 33.727859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_13.wav\n", + "Start: 34.510472, end: 34.644463\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_14.wav\n", + "Start: 35.51232, end: 35.682864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_15.wav\n", + "Start: 37.893613, end: 38.03978\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483694_16.wav\n", + "Start: 5.98, end: 6.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_1.wav\n", + "Start: 7.57, end: 7.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_2.wav\n", + "Start: 8.28, end: 8.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_3.wav\n", + "Start: 9.05, end: 9.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_4.wav\n", + "Start: 9.79, end: 9.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_5.wav\n", + "Start: 10.55, end: 11.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_6.wav\n", + "Start: 13.47, end: 13.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_7.wav\n", + "Start: 15.06, end: 15.22\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_8.wav\n", + "Start: 15.78, end: 15.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_9.wav\n", + "Start: 16.538152, end: 16.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_10.wav\n", + "Start: 17.29, end: 17.41\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_11.wav\n", + "Start: 18.04, end: 18.18\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_12.wav\n", + "Start: 6.828557, end: 6.970508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_13.wav\n", + "Start: 9.410366, end: 9.490933\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_14.wav\n", + "Start: 14.343807, end: 14.43587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC483697_15.wav\n", + "Start: 0.51415, end: 0.676848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_1.wav\n", + "Start: 1.252833, end: 1.379749\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_2.wav\n", + "Start: 1.99477, end: 2.147718\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_3.wav\n", + "Start: 2.831076, end: 2.98729\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_4.wav\n", + "Start: 3.621825, end: 3.755249\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_5.wav\n", + "Start: 4.380033, end: 4.536246\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_6.wav\n", + "Start: 5.213085, end: 5.382292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_7.wav\n", + "Start: 6.114474, end: 6.27393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_8.wav\n", + "Start: 6.928002, end: 7.077684\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_9.wav\n", + "Start: 7.718751, end: 7.878207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC485312_10.wav\n", + "Start: 1.413389, end: 2.118173\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC495533_1.wav\n", + "Start: 4.344148, end: 5.095123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC495533_2.wav\n", + "Start: 6.138576, end: 6.480639\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC495852_1.wav\n", + "Start: 14.957726, end: 15.128747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC495852_2.wav\n", + "Start: 16.605874, end: 16.789353\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC495852_3.wav\n", + "Start: 17.075441, end: 17.405066\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC495852_4.wav\n", + "Start: 3.703551, end: 4.582576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC496271_1.wav\n", + "Start: 7.465273, end: 8.357224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC496271_2.wav\n", + "Start: 1.11, end: 1.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_1.wav\n", + "Start: 1.94, end: 2.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_2.wav\n", + "Start: 2.81, end: 2.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_3.wav\n", + "Start: 3.66, end: 3.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_4.wav\n", + "Start: 4.49, end: 4.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_5.wav\n", + "Start: 5.34, end: 5.47\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_6.wav\n", + "Start: 6.21, end: 6.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_7.wav\n", + "Start: 7.06, end: 7.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_8.wav\n", + "Start: 7.92, end: 8.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_9.wav\n", + "Start: 8.75, end: 8.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_10.wav\n", + "Start: 9.6, end: 9.72\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_11.wav\n", + "Start: 10.45, end: 10.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_12.wav\n", + "Start: 11.31, end: 11.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_13.wav\n", + "Start: 12.22, end: 12.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_14.wav\n", + "Start: 13.15, end: 13.27\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_15.wav\n", + "Start: 14.17, end: 14.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC501872_16.wav\n", + "Start: 21.576672, end: 22.488964\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_1.wav\n", + "Start: 23.12544, end: 23.528544\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_2.wav\n", + "Start: 25.544064, end: 25.968377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_3.wav\n", + "Start: 37.117392, end: 37.361371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_4.wav\n", + "Start: 38.454, end: 38.782854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_5.wav\n", + "Start: 39.684528, end: 40.045216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_6.wav\n", + "Start: 41.456064, end: 41.700043\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_7.wav\n", + "Start: 50.01672, end: 50.377387\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_8.wav\n", + "Start: 51.915552, end: 52.191364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC504105_9.wav\n", + "Start: 0.08, end: 0.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_1.wav\n", + "Start: 0.91, end: 1.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_2.wav\n", + "Start: 1.75, end: 1.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_3.wav\n", + "Start: 2.62, end: 2.8\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_4.wav\n", + "Start: 3.41, end: 3.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_5.wav\n", + "Start: 4.09, end: 4.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_6.wav\n", + "Start: 4.79, end: 4.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_7.wav\n", + "Start: 5.53, end: 5.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_8.wav\n", + "Start: 6.24, end: 6.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_9.wav\n", + "Start: 6.82, end: 7.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_10.wav\n", + "Start: 7.58, end: 7.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_11.wav\n", + "Start: 8.54, end: 8.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_12.wav\n", + "Start: 9.36, end: 9.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510499_13.wav\n", + "Start: 0.961166, end: 1.136332\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510569_1.wav\n", + "Start: 2.2008, end: 2.358008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510569_2.wav\n", + "Start: 3.55272, end: 3.68297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510569_3.wav\n", + "Start: 1.640434, end: 1.755601\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_1.wav\n", + "Start: 2.436219, end: 2.558365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_2.wav\n", + "Start: 3.336713, end: 3.462359\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_3.wav\n", + "Start: 4.104576, end: 4.282576\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_4.wav\n", + "Start: 4.956206, end: 5.137706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_5.wav\n", + "Start: 5.832267, end: 5.982351\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_6.wav\n", + "Start: 6.579189, end: 6.725772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_7.wav\n", + "Start: 7.465721, end: 7.619284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_8.wav\n", + "Start: 8.244055, end: 8.401117\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_9.wav\n", + "Start: 9.064272, end: 9.207376\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_10.wav\n", + "Start: 10.010139, end: 10.153244\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC510571_11.wav\n", + "Start: 3.004539, end: 3.555435\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC513304_1.wav\n", + "Start: 0.172608, end: 0.272837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC519437_1.wav\n", + "Start: 0.824064, end: 0.935418\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC519437_2.wav\n", + "Start: 1.483872, end: 1.60358\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC519437_3.wav\n", + "Start: 2.494464, end: 2.619756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC519437_4.wav\n", + "Start: 3.2712, end: 3.376992\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC519437_5.wav\n", + "Start: 4.125888, end: 4.228888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC519437_6.wav\n", + "Start: 0.687617, end: 0.80637\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC522491_1.wav\n", + "Start: 2.115321, end: 2.228541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC522491_2.wav\n", + "Start: 2.767039, end: 2.866472\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC522491_3.wav\n", + "Start: 3.518171, end: 3.636924\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC522491_4.wav\n", + "Start: 4.084282, end: 4.17265\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC522491_5.wav\n", + "Start: 1.871397, end: 2.407021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC534416_1.wav\n", + "Start: 3.372483, end: 3.868447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC534416_2.wav\n", + "Start: 6.315139, end: 7.340105\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC534416_3.wav\n", + "Start: 8.82797, end: 9.733911\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC534416_4.wav\n", + "Start: 1.504653, end: 1.695719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538144_1.wav\n", + "Start: 3.206344, end: 3.415324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538144_2.wav\n", + "Start: 5.260315, end: 5.481245\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538144_3.wav\n", + "Start: 6.753026, end: 6.973956\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538144_4.wav\n", + "Start: 8.699522, end: 8.914465\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538144_5.wav\n", + "Start: 4.69, end: 4.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_1.wav\n", + "Start: 5.26, end: 5.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_2.wav\n", + "Start: 5.88, end: 6.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_3.wav\n", + "Start: 6.47, end: 6.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_4.wav\n", + "Start: 7.16, end: 7.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_5.wav\n", + "Start: 8.39, end: 8.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_6.wav\n", + "Start: 9.07, end: 9.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_7.wav\n", + "Start: 9.7, end: 9.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_8.wav\n", + "Start: 10.73, end: 10.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_9.wav\n", + "Start: 11.67, end: 11.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_10.wav\n", + "Start: 12.41, end: 12.53\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_11.wav\n", + "Start: 12.83, end: 12.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_12.wav\n", + "Start: 14.72, end: 14.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_13.wav\n", + "Start: 15.54, end: 15.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_14.wav\n", + "Start: 16.25, end: 16.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_15.wav\n", + "Start: 17.2, end: 17.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_16.wav\n", + "Start: 17.81, end: 17.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_17.wav\n", + "Start: 18.56, end: 18.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_18.wav\n", + "Start: 22.87, end: 22.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_19.wav\n", + "Start: 23.39, end: 23.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_20.wav\n", + "Start: 24.01, end: 24.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_21.wav\n", + "Start: 24.6, end: 24.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_22.wav\n", + "Start: 25.05, end: 25.18\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_23.wav\n", + "Start: 25.45, end: 25.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_24.wav\n", + "Start: 25.82, end: 25.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_25.wav\n", + "Start: 26.2, end: 26.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_26.wav\n", + "Start: 26.97, end: 27.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_27.wav\n", + "Start: 27.56, end: 27.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_28.wav\n", + "Start: 28.03, end: 28.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_29.wav\n", + "Start: 28.64, end: 28.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_30.wav\n", + "Start: 29.11, end: 29.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_31.wav\n", + "Start: 29.5, end: 29.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_32.wav\n", + "Start: 29.88, end: 30.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_33.wav\n", + "Start: 30.41, end: 30.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_34.wav\n", + "Start: 31.19, end: 31.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_35.wav\n", + "Start: 31.75, end: 32.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_36.wav\n", + "Start: 32.44, end: 32.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_37.wav\n", + "Start: 32.79, end: 32.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_38.wav\n", + "Start: 33.17, end: 33.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_39.wav\n", + "Start: 34.01, end: 34.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_40.wav\n", + "Start: 34.84, end: 35.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_41.wav\n", + "Start: 35.3, end: 35.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_42.wav\n", + "Start: 36.17, end: 37.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_43.wav\n", + "Start: 37.52, end: 37.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_44.wav\n", + "Start: 38.33, end: 38.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_45.wav\n", + "Start: 38.92, end: 39.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_46.wav\n", + "Start: 39.51, end: 39.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538213_47.wav\n", + "Start: 2.244, end: 3.405604\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538750_1.wav\n", + "Start: 4.9368, end: 5.607363\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC538750_2.wav\n", + "Start: 0.850845, end: 1.239326\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540348_1.wav\n", + "Start: 1.257271, end: 1.778583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_1.wav\n", + "Start: 3.097179, end: 3.98645\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_2.wav\n", + "Start: 11.024119, end: 11.576077\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_3.wav\n", + "Start: 13.661321, end: 14.2133\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_4.wav\n", + "Start: 15.148581, end: 15.746539\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_5.wav\n", + "Start: 19.595026, end: 20.484315\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_6.wav\n", + "Start: 25.268078, end: 25.620724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_7.wav\n", + "Start: 30.481152, end: 31.033131\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540475_8.wav\n", + "Start: 12.363949, end: 12.836852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540685_1.wav\n", + "Start: 1.219485, end: 2.253408\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540742_1.wav\n", + "Start: 19.246662, end: 20.227547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540742_2.wav\n", + "Start: 21.022869, end: 22.003754\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC540742_3.wav\n", + "Start: 2.20575, end: 3.552757\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543233_1.wav\n", + "Start: 4.922246, end: 5.449819\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543233_2.wav\n", + "Start: 6.875429, end: 7.818354\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543233_3.wav\n", + "Start: 8.620975, end: 8.978617\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543454_1.wav\n", + "Start: 11.435027, end: 11.773826\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543454_2.wav\n", + "Start: 13.70321, end: 14.089083\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543454_3.wav\n", + "Start: 15.867865, end: 16.187865\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543454_4.wav\n", + "Start: 18.870148, end: 19.208946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543454_5.wav\n", + "Start: 22.503005, end: 22.898288\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543454_6.wav\n", + "Start: 1.01385, end: 1.999042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC543771_1.wav\n", + "Start: 1.514057, end: 1.66862\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC544319_1.wav\n", + "Start: 3.84192, end: 3.980712\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC544319_2.wav\n", + "Start: 0.354713, end: 0.57791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC545223_1.wav\n", + "Start: 1.115951, end: 1.363071\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC545223_2.wav\n", + "Start: 2.706181, end: 2.901465\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC545223_3.wav\n", + "Start: 4.025395, end: 4.304374\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC545223_4.wav\n", + "Start: 5.886642, end: 6.145689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC545223_5.wav\n", + "Start: 1.048242, end: 1.238831\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548458_1.wav\n", + "Start: 6.303063, end: 6.534492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548458_2.wav\n", + "Start: 6.834213, end: 8.000525\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548770_1.wav\n", + "Start: 11.499483, end: 12.604421\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548770_2.wav\n", + "Start: 22.958043, end: 23.612814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548770_3.wav\n", + "Start: 24.369902, end: 25.147443\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548770_4.wav\n", + "Start: 4.660238, end: 4.832634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC548872_1.wav\n", + "Start: 10.226357, end: 10.526697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Fulica atra\\XC550266_1.wav\n", + "Gallinula chloropus\n", + "Start: 3.995541, end: 4.361346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC436938_1.wav\n", + "Start: 4.924082, end: 5.514966\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC436938_2.wav\n", + "Start: 0.4, end: 0.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_1.wav\n", + "Start: 0.79, end: 0.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_2.wav\n", + "Start: 1.14, end: 1.252064\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_3.wav\n", + "Start: 1.92, end: 2.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_4.wav\n", + "Start: 4.23, end: 4.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_5.wav\n", + "Start: 4.59, end: 4.72\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_6.wav\n", + "Start: 5.09, end: 5.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_7.wav\n", + "Start: 7.18, end: 7.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_8.wav\n", + "Start: 8.02, end: 8.145099\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_9.wav\n", + "Start: 9.601013, end: 9.646685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_10.wav\n", + "Start: 10.14, end: 10.28\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_11.wav\n", + "Start: 12.03, end: 12.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_12.wav\n", + "Start: 13.523181, end: 13.596701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_13.wav\n", + "Start: 14.097972, end: 14.164808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_14.wav\n", + "Start: 15.374543, end: 15.46143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_15.wav\n", + "Start: 15.96, end: 16.1\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_16.wav\n", + "Start: 18.73, end: 18.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_17.wav\n", + "Start: 19.19, end: 19.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_18.wav\n", + "Start: 21.43, end: 21.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_19.wav\n", + "Start: 22.15, end: 22.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_20.wav\n", + "Start: 23.6, end: 23.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_21.wav\n", + "Start: 24.2, end: 24.292713\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_22.wav\n", + "Start: 27.43, end: 27.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_23.wav\n", + "Start: 29.229677, end: 29.305425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_24.wav\n", + "Start: 1.568422, end: 1.662004\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC440482_25.wav\n", + "Start: 6.208361, end: 6.627549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC454200_1.wav\n", + "Start: 0.488818, end: 3.150632\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC459964_1.wav\n", + "Start: 1.338063, end: 1.768267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC464578_1.wav\n", + "Start: 13.898352, end: 14.230143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC464578_2.wav\n", + "Start: 1.61177, end: 1.954627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC465476_1.wav\n", + "Start: 3.245678, end: 3.796782\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_1.wav\n", + "Start: 4.230638, end: 4.798159\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_2.wav\n", + "Start: 5.025641, end: 5.834704\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_3.wav\n", + "Start: 6.144274, end: 6.491358\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_4.wav\n", + "Start: 6.824366, end: 7.108116\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_5.wav\n", + "Start: 7.511493, end: 7.588868\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_6.wav\n", + "Start: 8.083707, end: 8.184541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_7.wav\n", + "Start: 8.662958, end: 8.981895\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_8.wav\n", + "Start: 9.992654, end: 10.222487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_9.wav\n", + "Start: 11.146464, end: 11.230901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_10.wav\n", + "Start: 11.842971, end: 12.119701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466157_11.wav\n", + "Start: 1.593887, end: 1.841234\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466994_1.wav\n", + "Start: 2.591048, end: 2.728463\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466994_2.wav\n", + "Start: 3.121036, end: 3.270219\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466994_3.wav\n", + "Start: 3.607839, end: 3.725616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466994_4.wav\n", + "Start: 4.279156, end: 4.412625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466994_5.wav\n", + "Start: 5.346982, end: 5.48832\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC466994_6.wav\n", + "Start: 10.512901, end: 11.019591\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467260_1.wav\n", + "Start: 13.361476, end: 14.170501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467260_2.wav\n", + "Start: 24.406622, end: 24.9261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467260_3.wav\n", + "Start: 12.26736, end: 13.243756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467263_1.wav\n", + "Start: 13.594238, end: 14.053238\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467263_2.wav\n", + "Start: 38.128958, end: 38.52952\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467263_3.wav\n", + "Start: 39.180446, end: 39.873092\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467263_4.wav\n", + "Start: 50.454734, end: 51.097317\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467263_5.wav\n", + "Start: 51.931824, end: 52.332386\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC467263_6.wav\n", + "Start: 7.371, end: 7.834312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC470195_1.wav\n", + "Start: 9.64548, end: 10.038605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC470195_2.wav\n", + "Start: 11.487528, end: 11.934007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC470195_3.wav\n", + "Start: 16.449037, end: 16.958833\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC470995_1.wav\n", + "Start: 53.330845, end: 54.100165\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC471249_1.wav\n", + "Start: 57.686391, end: 58.646572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC471249_2.wav\n", + "Start: 59.24814, end: 60.514897\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC471249_3.wav\n", + "Start: 64.500245, end: 65.15385\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC471249_4.wav\n", + "Start: 65.940525, end: 66.333858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC471249_5.wav\n", + "Start: 1.904065, end: 2.505244\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC477749_1.wav\n", + "Start: 4.979566, end: 5.505348\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC477749_2.wav\n", + "Start: 8.045401, end: 8.710367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC477749_3.wav\n", + "Start: 11.033913, end: 11.660217\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC477749_4.wav\n", + "Start: 1.16736, end: 1.623777\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478070_1.wav\n", + "Start: 3.519634, end: 4.00678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478070_2.wav\n", + "Start: 6.209829, end: 6.503849\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478070_3.wav\n", + "Start: 2.975048, end: 3.369788\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478568_1.wav\n", + "Start: 4.065418, end: 4.671971\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478568_2.wav\n", + "Start: 5.276138, end: 5.800854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478568_3.wav\n", + "Start: 9.052716, end: 9.584666\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478568_4.wav\n", + "Start: 1.959542, end: 2.478726\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478876_1.wav\n", + "Start: 5.19474, end: 5.881407\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478876_2.wav\n", + "Start: 7.307807, end: 7.83817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC478876_3.wav\n", + "Start: 3.151412, end: 3.329938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC483557_1.wav\n", + "Start: 0.306981, end: 0.402918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_1.wav\n", + "Start: 1.235117, end: 1.347825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_2.wav\n", + "Start: 1.966594, end: 2.079303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_3.wav\n", + "Start: 2.928307, end: 3.043411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_4.wav\n", + "Start: 4.331304, end: 4.439221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_5.wav\n", + "Start: 9.466034, end: 9.583534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_6.wav\n", + "Start: 10.81387, end: 10.914599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_7.wav\n", + "Start: 13.75177, end: 13.840499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_8.wav\n", + "Start: 15.353825, end: 15.449742\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_9.wav\n", + "Start: 17.006244, end: 17.104577\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_10.wav\n", + "Start: 19.075965, end: 19.169506\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_11.wav\n", + "Start: 23.035534, end: 23.131451\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_12.wav\n", + "Start: 24.265855, end: 24.376167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_13.wav\n", + "Start: 26.340372, end: 26.433893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_14.wav\n", + "Start: 27.618658, end: 27.714575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_15.wav\n", + "Start: 29.367009, end: 29.477342\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC486755_16.wav\n", + "Start: 0.11, end: 0.28\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_1.wav\n", + "Start: 0.79, end: 0.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_2.wav\n", + "Start: 1.57, end: 1.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_3.wav\n", + "Start: 2.35, end: 2.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_4.wav\n", + "Start: 3.24, end: 3.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_5.wav\n", + "Start: 4.12, end: 4.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_6.wav\n", + "Start: 5.22, end: 5.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_7.wav\n", + "Start: 6.57, end: 6.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_8.wav\n", + "Start: 7.74, end: 7.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_9.wav\n", + "Start: 8.79, end: 8.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_10.wav\n", + "Start: 10.03, end: 10.2\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_11.wav\n", + "Start: 11.47, end: 11.64\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_12.wav\n", + "Start: 13.77, end: 13.93355\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_13.wav\n", + "Start: 14.95, end: 15.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_14.wav\n", + "Start: 15.94, end: 16.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_15.wav\n", + "Start: 16.89, end: 17.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_16.wav\n", + "Start: 17.78, end: 17.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_17.wav\n", + "Start: 18.72, end: 18.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_18.wav\n", + "Start: 19.56, end: 19.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_19.wav\n", + "Start: 20.43, end: 20.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_20.wav\n", + "Start: 21.48, end: 21.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_21.wav\n", + "Start: 23.06, end: 23.199305\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_22.wav\n", + "Start: 24.44, end: 24.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487692_23.wav\n", + "Start: 0.539794, end: 0.657878\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_1.wav\n", + "Start: 2.043909, end: 2.156367\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_2.wav\n", + "Start: 3.309051, end: 3.410281\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_3.wav\n", + "Start: 8.414606, end: 8.504564\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_4.wav\n", + "Start: 9.581349, end: 9.693807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_5.wav\n", + "Start: 21.051977, end: 21.144748\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_6.wav\n", + "Start: 25.404069, end: 25.505277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_7.wav\n", + "Start: 44.561143, end: 44.653914\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_8.wav\n", + "Start: 47.077371, end: 47.181392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_9.wav\n", + "Start: 49.070674, end: 49.171903\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_10.wav\n", + "Start: 55.385143, end: 55.469476\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_11.wav\n", + "Start: 56.917371, end: 57.012955\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_12.wav\n", + "Start: 60.589097, end: 60.693118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_13.wav\n", + "Start: 62.439017, end: 62.5346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_14.wav\n", + "Start: 63.923451, end: 64.02466\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_15.wav\n", + "Start: 68.255863, end: 68.351467\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_16.wav\n", + "Start: 70.111406, end: 70.204197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_17.wav\n", + "Start: 73.09152, end: 73.195541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC487693_18.wav\n", + "Start: 4.453057, end: 4.857886\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC504113_1.wav\n", + "Start: 2.302279, end: 2.868508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC510585_1.wav\n", + "Start: 3.821997, end: 4.481705\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC510585_2.wav\n", + "Start: 15.034255, end: 15.715338\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC510585_3.wav\n", + "Start: 0.755602, end: 0.947165\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC527806_1.wav\n", + "Start: 4.192892, end: 4.972574\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC528507_1.wav\n", + "Start: 5.656824, end: 6.563831\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC528507_2.wav\n", + "Start: 7.168493, end: 7.964094\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC528507_3.wav\n", + "Start: 10.39151, end: 10.968812\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC528508_1.wav\n", + "Start: 16.892865, end: 17.514589\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC528508_2.wav\n", + "Start: 20.738612, end: 21.324803\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC528508_3.wav\n", + "Start: 2.247123, end: 2.955644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC529190_1.wav\n", + "Start: 4.164298, end: 5.147194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC529190_2.wav\n", + "Start: 7.453365, end: 8.345969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC529190_3.wav\n", + "Start: 10.224933, end: 10.989016\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC529190_4.wav\n", + "Start: 13.25004, end: 14.170415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC529190_5.wav\n", + "Start: 20.522801, end: 21.516134\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC529190_6.wav\n", + "Start: 29.318784, end: 30.062992\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC533927_1.wav\n", + "Start: 31.309138, end: 31.837013\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC533927_2.wav\n", + "Start: 7.619342, end: 7.816821\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534750_1.wav\n", + "Start: 0.533109, end: 1.075963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_1.wav\n", + "Start: 1.514126, end: 2.061834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_2.wav\n", + "Start: 2.356389, end: 2.439139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_3.wav\n", + "Start: 2.782389, end: 2.904097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_4.wav\n", + "Start: 3.215691, end: 3.334983\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_5.wav\n", + "Start: 3.756103, end: 3.858332\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_6.wav\n", + "Start: 4.26, end: 4.357375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534754_7.wav\n", + "Start: 0.941074, end: 2.895303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534756_1.wav\n", + "Start: 3.111552, end: 3.331823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC534756_2.wav\n", + "Start: 1.38, end: 1.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_1.wav\n", + "Start: 2.91, end: 3.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_2.wav\n", + "Start: 4.38, end: 4.64\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_3.wav\n", + "Start: 5.85, end: 6.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_4.wav\n", + "Start: 7.29, end: 7.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_5.wav\n", + "Start: 9.13, end: 9.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_6.wav\n", + "Start: 12.35, end: 12.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_7.wav\n", + "Start: 14.04, end: 14.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_8.wav\n", + "Start: 15.61, end: 15.8\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_9.wav\n", + "Start: 18.06, end: 18.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_10.wav\n", + "Start: 19.67, end: 19.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_11.wav\n", + "Start: 21.26, end: 21.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_12.wav\n", + "Start: 22.85, end: 23.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_13.wav\n", + "Start: 24.72, end: 24.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_14.wav\n", + "Start: 28.43, end: 28.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_15.wav\n", + "Start: 29.94, end: 30.16\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_16.wav\n", + "Start: 32.61, end: 32.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_17.wav\n", + "Start: 34.32, end: 34.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_18.wav\n", + "Start: 36.64, end: 36.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC538710_19.wav\n", + "Start: 1.528536, end: 1.985316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC539273_1.wav\n", + "Start: 3.283965, end: 3.970609\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC539273_2.wav\n", + "Start: 0.616639, end: 1.123646\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540804_1.wav\n", + "Start: 2.278139, end: 2.809137\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540804_2.wav\n", + "Start: 8.951544, end: 9.434582\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540804_3.wav\n", + "Start: 10.13001, end: 11.01044\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540804_4.wav\n", + "Start: 7.846663, end: 8.144017\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540808_1.wav\n", + "Start: 8.999691, end: 9.297046\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540808_2.wav\n", + "Start: 10.1952, end: 10.4622\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540808_3.wav\n", + "Start: 12.282789, end: 12.576101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC540808_4.wav\n", + "Start: 0.840661, end: 1.056099\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_1.wav\n", + "Start: 10.117506, end: 11.139819\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_2.wav\n", + "Start: 13.323848, end: 15.96834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_3.wav\n", + "Start: 64.940028, end: 66.274945\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_4.wav\n", + "Start: 149.734871, end: 151.699225\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_5.wav\n", + "Start: 164.473902, end: 165.893319\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_6.wav\n", + "Start: 174.456227, end: 176.479727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542331_7.wav\n", + "Start: 1.290867, end: 1.695198\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542359_1.wav\n", + "Start: 2.84881, end: 3.794683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542359_2.wav\n", + "Start: 4.429009, end: 5.10783\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542359_3.wav\n", + "Start: 6.357891, end: 6.639795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542359_4.wav\n", + "Start: 9.866971, end: 10.40484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542359_5.wav\n", + "Start: 0.340726, end: 0.964899\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542543_1.wav\n", + "Start: 2.478558, end: 3.060508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542543_2.wav\n", + "Start: 3.772111, end: 4.402316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542543_3.wav\n", + "Start: 1.194229, end: 1.616973\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC542651_1.wav\n", + "Start: 0.67846, end: 1.1927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_1.wav\n", + "Start: 2.061308, end: 2.774323\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_2.wav\n", + "Start: 3.651583, end: 4.066435\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_3.wav\n", + "Start: 6.006745, end: 6.490759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_4.wav\n", + "Start: 7.4112, end: 8.150157\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_5.wav\n", + "Start: 10.959069, end: 11.5295\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_6.wav\n", + "Start: 12.480202, end: 13.249408\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543411_7.wav\n", + "Start: 2.290812, end: 2.786504\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_1.wav\n", + "Start: 3.798465, end: 4.417377\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_2.wav\n", + "Start: 5.311985, end: 5.863414\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_3.wav\n", + "Start: 11.05808, end: 11.653523\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_4.wav\n", + "Start: 12.392676, end: 13.052631\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_5.wav\n", + "Start: 21.215675, end: 21.734859\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_6.wav\n", + "Start: 23.095842, end: 24.005117\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC543793_7.wav\n", + "Start: 2.302388, end: 3.020596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC544935_1.wav\n", + "Start: 3.176945, end: 3.645244\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545123_1.wav\n", + "Start: 4.557878, end: 5.180509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545123_2.wav\n", + "Start: 5.797792, end: 6.284708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545123_3.wav\n", + "Start: 7.777396, end: 8.264312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545123_4.wav\n", + "Start: 11.861659, end: 12.340593\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545123_5.wav\n", + "Start: 14.091374, end: 14.615524\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545123_6.wav\n", + "Start: 0.541854, end: 0.956525\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545614_1.wav\n", + "Start: 3.773276, end: 4.054069\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545755_1.wav\n", + "Start: 1.00355, end: 1.358198\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545994_1.wav\n", + "Start: 2.222722, end: 2.660023\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC545994_2.wav\n", + "Start: 3.46518, end: 5.060123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC546757_1.wav\n", + "Start: 1.391376, end: 1.827689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC547368_1.wav\n", + "Start: 8.707008, end: 9.182112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC547368_2.wav\n", + "Start: 12.391488, end: 13.084759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC547368_3.wav\n", + "Start: 14.679744, end: 15.164536\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC547368_4.wav\n", + "Start: 1.048242, end: 1.590759\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548338_1.wav\n", + "Start: 2.307971, end: 3.236655\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548338_2.wav\n", + "Start: 5.153855, end: 6.013605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548338_3.wav\n", + "Start: 4.494775, end: 4.890796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548742_1.wav\n", + "Start: 5.948163, end: 6.44758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548742_2.wav\n", + "Start: 7.432766, end: 7.846349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548742_3.wav\n", + "Start: 3.987895, end: 4.501353\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548772_1.wav\n", + "Start: 6.520978, end: 7.419541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548772_2.wav\n", + "Start: 7.845287, end: 7.945829\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548772_3.wav\n", + "Start: 8.422933, end: 8.521349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548772_4.wav\n", + "Start: 9.357861, end: 9.422048\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548772_5.wav\n", + "Start: 4.363159, end: 5.027284\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548774_1.wav\n", + "Start: 7.973904, end: 8.717925\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548774_2.wav\n", + "Start: 10.340434, end: 11.210538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548774_3.wav\n", + "Start: 4.351049, end: 4.771007\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548775_1.wav\n", + "Start: 8.082487, end: 8.516216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548775_2.wav\n", + "Start: 6.78528, end: 7.081197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548777_1.wav\n", + "Start: 10.941477, end: 11.264581\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548777_2.wav\n", + "Start: 16.165632, end: 16.461549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Gallinula chloropus\\XC548777_3.wav\n", + "Himantopus himantopus\n", + "Start: 0.686349, end: 4.529901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC118195_1.wav\n", + "Start: 0.020988, end: 3.667563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132077_1.wav\n", + "Start: 4.953055, end: 6.485141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132077_2.wav\n", + "Start: 0.927031, end: 8.230053\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132435_1.wav\n", + "Start: 13.806391, end: 20.18237\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132435_2.wav\n", + "Start: 21.52693, end: 24.258472\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132435_3.wav\n", + "Start: 24.385865, end: 29.650823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132435_4.wav\n", + "Start: 35.014875, end: 47.214875\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC132435_5.wav\n", + "Start: 0.334651, end: 27.701658\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC134081_1.wav\n", + "Start: 28.612652, end: 31.485078\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC134081_2.wav\n", + "Start: 41.143477, end: 49.732864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC134081_3.wav\n", + "Start: 0.68702, end: 4.946547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_1.wav\n", + "Start: 10.456451, end: 11.115997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_2.wav\n", + "Start: 19.978553, end: 21.380073\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_3.wav\n", + "Start: 33.911327, end: 36.618175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_4.wav\n", + "Start: 37.71742, end: 39.146423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_5.wav\n", + "Start: 40.692219, end: 42.725802\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_6.wav\n", + "Start: 43.838772, end: 45.947911\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC137514_7.wav\n", + "Start: 6.545241, end: 11.081771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC144533_1.wav\n", + "Start: 20.741642, end: 29.227901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC144533_2.wav\n", + "Start: 1.306496, end: 12.019761\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154289_1.wav\n", + "Start: 17.419942, end: 25.433116\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154289_2.wav\n", + "Start: 25.973133, end: 28.516444\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154289_3.wav\n", + "Start: 0.154003, end: 0.437677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154931_1.wav\n", + "Start: 0.996967, end: 3.687965\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154931_2.wav\n", + "Start: 4.028395, end: 5.236105\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154931_3.wav\n", + "Start: 5.45495, end: 8.46207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154931_4.wav\n", + "Start: 8.745751, end: 9.029425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154931_5.wav\n", + "Start: 9.621137, end: 13.155105\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC154931_6.wav\n", + "Start: 0.369894, end: 1.652207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC155092_1.wav\n", + "Start: 3.816072, end: 10.153578\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC155092_2.wav\n", + "Start: 1.960527, end: 6.327171\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_1.wav\n", + "Start: 20.975412, end: 30.143099\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_2.wav\n", + "Start: 6.973238, end: 9.212241\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_3.wav\n", + "Start: 9.89175, end: 15.35005\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_4.wav\n", + "Start: 52.388403, end: 58.047179\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_5.wav\n", + "Start: 114.757672, end: 121.41901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_6.wav\n", + "Start: 129.483904, end: 148.04209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC184422_7.wav\n", + "Start: 19.142784, end: 19.961263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC190968_1.wav\n", + "Start: 2.622528, end: 5.88816\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC190968_2.wav\n", + "Start: 0.219802, end: 0.358623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206253_1.wav\n", + "Start: 0.93705, end: 1.087435\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206253_2.wav\n", + "Start: 5.147988, end: 6.825426\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206253_3.wav\n", + "Start: 8.340898, end: 19.86312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206253_4.wav\n", + "Start: 0.075949, end: 3.351255\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206255_1.wav\n", + "Start: 4.414545, end: 6.79747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206255_2.wav\n", + "Start: 9.617062, end: 13.082254\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC206255_3.wav\n", + "Start: 0.13152, end: 1.617687\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_1.wav\n", + "Start: 2.091168, end: 3.406376\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_2.wav\n", + "Start: 3.840384, end: 5.563301\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_3.wav\n", + "Start: 6.04992, end: 9.377378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_4.wav\n", + "Start: 9.982368, end: 11.021368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_5.wav\n", + "Start: 11.547456, end: 13.086248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_6.wav\n", + "Start: 13.362432, end: 15.243161\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_7.wav\n", + "Start: 15.71664, end: 18.189203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_8.wav\n", + "Start: 19.254528, end: 19.491278\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_9.wav\n", + "Start: 20.083104, end: 22.963396\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263296_10.wav\n", + "Start: 0.143067, end: 7.667526\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC263298_1.wav\n", + "Start: 8.870071, end: 10.471613\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC277591_1.wav\n", + "Start: 11.855191, end: 12.641753\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC277591_2.wav\n", + "Start: 1.051899, end: 1.383587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC277591_3.wav\n", + "Start: 3.105362, end: 10.40992\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC280353_1.wav\n", + "Start: 11.012448, end: 12.773695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC280353_2.wav\n", + "Start: 0.887059, end: 6.766401\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281044_1.wav\n", + "Start: 8.045416, end: 11.057275\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281044_2.wav\n", + "Start: 30.428175, end: 33.904207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281044_3.wav\n", + "Start: 0.686767, end: 2.365542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281045_1.wav\n", + "Start: 3.650038, end: 3.993416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281045_2.wav\n", + "Start: 5.417826, end: 7.312792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281045_3.wav\n", + "Start: 8.368379, end: 13.086701\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281045_4.wav\n", + "Start: 14.466593, end: 16.743101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC281045_5.wav\n", + "Start: 0.114583, end: 1.932625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_1.wav\n", + "Start: 3.124293, end: 3.269418\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_2.wav\n", + "Start: 5.851365, end: 6.485365\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_3.wav\n", + "Start: 7.600663, end: 8.051371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_4.wav\n", + "Start: 8.608992, end: 8.792325\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_5.wav\n", + "Start: 9.441627, end: 9.579127\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_6.wav\n", + "Start: 4.319774, end: 4.457274\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_7.wav\n", + "Start: 5.026368, end: 5.198243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_8.wav\n", + "Start: 12.10377, end: 13.13502\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC29798_9.wav\n", + "Start: 4.126332, end: 7.816241\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC312572_1.wav\n", + "Start: 8.880045, end: 9.361111\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC312572_2.wav\n", + "Start: 0.166512, end: 2.573224\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC313565_1.wav\n", + "Start: 1.025672, end: 4.871953\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC328055_1.wav\n", + "Start: 12.185958, end: 14.640244\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC328055_2.wav\n", + "Start: 16.789271, end: 17.674509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC328055_3.wav\n", + "Start: 2.638785, end: 10.306563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC332043_1.wav\n", + "Start: 18.949538, end: 24.953733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC332043_2.wav\n", + "Start: 2.621709, end: 9.22384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC332533_1.wav\n", + "Start: 4.8551, end: 6.561653\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338279_1.wav\n", + "Start: 11.41676, end: 11.945921\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338279_2.wav\n", + "Start: 15.226752, end: 16.271854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338279_3.wav\n", + "Start: 21.133574, end: 21.523824\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338279_4.wav\n", + "Start: 42.09517, end: 42.253923\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338279_5.wav\n", + "Start: 2.56, end: 3.858277\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338280_1.wav\n", + "Start: 4.831991, end: 5.773692\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338280_2.wav\n", + "Start: 6.733705, end: 7.478853\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338280_3.wav\n", + "Start: 5.282228, end: 12.872455\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC338283_1.wav\n", + "Start: 0.48752, end: 35.67371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC347981_1.wav\n", + "Start: 2.216856, end: 23.788579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370227_1.wav\n", + "Start: 34.738857, end: 39.087292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370227_2.wav\n", + "Start: 1.72, end: 1.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_1.wav\n", + "Start: 3.33, end: 3.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_2.wav\n", + "Start: 6.74, end: 6.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_3.wav\n", + "Start: 9.37, end: 9.53\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_4.wav\n", + "Start: 12.65, end: 12.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_5.wav\n", + "Start: 14.88, end: 15.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_6.wav\n", + "Start: 17.94, end: 18.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_7.wav\n", + "Start: 19.64, end: 19.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_8.wav\n", + "Start: 21.63, end: 21.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_9.wav\n", + "Start: 22.64, end: 22.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_10.wav\n", + "Start: 24.05, end: 24.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_11.wav\n", + "Start: 25.67, end: 25.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_12.wav\n", + "Start: 27.87, end: 28.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_13.wav\n", + "Start: 30.3, end: 30.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_14.wav\n", + "Start: 34.42, end: 34.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_15.wav\n", + "Start: 37.58, end: 37.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_16.wav\n", + "Start: 39.06, end: 39.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_17.wav\n", + "Start: 41.52, end: 41.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_18.wav\n", + "Start: 45.8, end: 46.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_19.wav\n", + "Start: 48.96, end: 49.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_20.wav\n", + "Start: 60.2, end: 60.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_21.wav\n", + "Start: 63.58, end: 63.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_22.wav\n", + "Start: 64.87, end: 65.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_23.wav\n", + "Start: 69.77, end: 70.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_24.wav\n", + "Start: 72.77, end: 73.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_25.wav\n", + "Start: 82.64, end: 82.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_26.wav\n", + "Start: 86.6, end: 86.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_27.wav\n", + "Start: 89.53, end: 89.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_28.wav\n", + "Start: 93.04, end: 93.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_29.wav\n", + "Start: 103.57, end: 103.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_30.wav\n", + "Start: 110.71, end: 111.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_31.wav\n", + "Start: 113.16, end: 113.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_32.wav\n", + "Start: 115.21, end: 115.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_33.wav\n", + "Start: 116.38, end: 116.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_34.wav\n", + "Start: 118.05, end: 118.36\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_35.wav\n", + "Start: 119.92, end: 120.22\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_36.wav\n", + "Start: 122.73, end: 123.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_37.wav\n", + "Start: 124.25, end: 124.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_38.wav\n", + "Start: 125.68, end: 125.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_39.wav\n", + "Start: 127.05, end: 127.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_40.wav\n", + "Start: 129.41, end: 129.71\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC370744_41.wav\n", + "Start: 0.12397, end: 17.705126\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC374912_1.wav\n", + "Start: 48.010076, end: 55.087627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC374912_2.wav\n", + "Start: 0.0, end: 2.495465\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC374913_1.wav\n", + "Start: 17.792508, end: 24.299038\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC374913_2.wav\n", + "Start: 35.986827, end: 42.401725\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC374913_3.wav\n", + "Start: 0.0, end: 35.064739\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC379892_1.wav\n", + "Start: 0.0, end: 11.045624\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC385622_1.wav\n", + "Start: 20.6336, end: 26.771854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC385622_2.wav\n", + "Start: 7.124626, end: 17.556043\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC413271_1.wav\n", + "Start: 18.247461, end: 41.274731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC413271_2.wav\n", + "Start: 41.996215, end: 50.383444\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC413271_3.wav\n", + "Start: 0.231113, end: 7.500676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC413273_1.wav\n", + "Start: 0.383451, end: 16.475618\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC413305_1.wav\n", + "Start: 17.58046, end: 22.299026\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC417021_1.wav\n", + "Start: 31.397139, end: 35.558747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC417021_2.wav\n", + "Start: 0.173841, end: 7.996698\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC428707_1.wav\n", + "Start: 13.861586, end: 19.415669\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC431789_1.wav\n", + "Start: 76.63308, end: 79.995747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC431789_2.wav\n", + "Start: 92.926937, end: 96.157375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC431789_3.wav\n", + "Start: 97.432543, end: 101.872029\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC431789_4.wav\n", + "Start: 118.383137, end: 121.925262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC431789_5.wav\n", + "Start: 14.459904, end: 28.317321\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC440159_1.wav\n", + "Start: 0.133822, end: 21.216792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC448948_1.wav\n", + "Start: 2.004204, end: 8.524861\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC454995_1.wav\n", + "Start: 0.426318, end: 12.079017\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC459861_1.wav\n", + "Start: 22.355069, end: 28.376815\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC459861_2.wav\n", + "Start: 0.260232, end: 3.398327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC463296_1.wav\n", + "Start: 9.322428, end: 10.738392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC463296_2.wav\n", + "Start: 31.64113, end: 34.082717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC463296_3.wav\n", + "Start: 35.889032, end: 38.74393\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC463296_4.wav\n", + "Start: 3.96082, end: 7.859754\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC469794_1.wav\n", + "Start: 8.540518, end: 11.294532\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC469794_2.wav\n", + "Start: 13.274936, end: 20.392033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC469794_3.wav\n", + "Start: 0.0, end: 5.820646\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_1.wav\n", + "Start: 20.561626, end: 22.515126\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_2.wav\n", + "Start: 23.093208, end: 24.368958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_3.wav\n", + "Start: 24.807507, end: 27.359028\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_4.wav\n", + "Start: 27.648062, end: 31.814208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_5.wav\n", + "Start: 32.272683, end: 41.6216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_6.wav\n", + "Start: 52.266199, end: 68.552032\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC470261_7.wav\n", + "Start: 0.148973, end: 3.545549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC478424_1.wav\n", + "Start: 6.137671, end: 7.83597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC478424_2.wav\n", + "Start: 10.54726, end: 11.441092\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC478424_3.wav\n", + "Start: 0.203442, end: 32.032807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC478425_1.wav\n", + "Start: 1.647177, end: 11.261304\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC479946_1.wav\n", + "Start: 0.155465, end: 12.18609\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC481399_1.wav\n", + "Start: 5.735808, end: 19.66562\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC481404_1.wav\n", + "Start: 3.608517, end: 3.829121\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC481404_2.wav\n", + "Start: 21.115337, end: 21.887462\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC481404_3.wav\n", + "Start: 24.014757, end: 49.565903\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC481404_4.wav\n", + "Start: 0.494201, end: 4.187972\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC481405_1.wav\n", + "Start: 5.781367, end: 13.526617\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC487843_1.wav\n", + "Start: 15.341585, end: 16.842085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC487843_2.wav\n", + "Start: 17.614413, end: 19.776913\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC487843_3.wav\n", + "Start: 28.811417, end: 31.577521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC487848_1.wav\n", + "Start: 32.068697, end: 34.938218\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC487848_2.wav\n", + "Start: 1.732937, end: 4.92925\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_1.wav\n", + "Start: 6.050845, end: 7.990762\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_2.wav\n", + "Start: 20.140581, end: 23.856768\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_3.wav\n", + "Start: 24.968736, end: 29.835403\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_4.wav\n", + "Start: 30.822213, end: 36.906754\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_5.wav\n", + "Start: 37.494021, end: 39.36175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_6.wav\n", + "Start: 41.850432, end: 43.515974\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_7.wav\n", + "Start: 50.957979, end: 53.191542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_8.wav\n", + "Start: 55.155538, end: 56.975122\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_9.wav\n", + "Start: 58.25557, end: 62.818987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_10.wav\n", + "Start: 63.300343, end: 66.121197\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC495092_11.wav\n", + "Start: 20.006631, end: 29.384749\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC496380_1.wav\n", + "Start: 15.892092, end: 18.207058\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC496380_2.wav\n", + "Start: 30.364794, end: 32.240418\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC496380_3.wav\n", + "Start: 49.543449, end: 51.013539\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC496380_4.wav\n", + "Start: 54.739428, end: 56.28555\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC496380_5.wav\n", + "Start: 4.409649, end: 25.500556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_1.wav\n", + "Start: 26.486902, end: 41.137378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_2.wav\n", + "Start: 47.287678, end: 54.656431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_3.wav\n", + "Start: 61.06783, end: 64.897263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_4.wav\n", + "Start: 65.506489, end: 100.754675\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_5.wav\n", + "Start: 126.690362, end: 132.985714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_6.wav\n", + "Start: 139.252058, end: 143.139496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_7.wav\n", + "Start: 143.574674, end: 163.447101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_8.wav\n", + "Start: 185.147216, end: 195.533112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC500624_9.wav\n", + "Start: 0.914077, end: 3.035641\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC510178_1.wav\n", + "Start: 4.773512, end: 7.098206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC510178_2.wav\n", + "Start: 8.147696, end: 10.664227\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC510178_3.wav\n", + "Start: 0.730462, end: 4.570077\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_1.wav\n", + "Start: 8.615706, end: 9.945525\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_2.wav\n", + "Start: 11.96834, end: 13.354349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_3.wav\n", + "Start: 17.531089, end: 19.235511\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_4.wav\n", + "Start: 22.531944, end: 27.027092\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_5.wav\n", + "Start: 34.743771, end: 37.946583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_6.wav\n", + "Start: 39.182733, end: 41.074434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_7.wav\n", + "Start: 46.037838, end: 55.908428\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_8.wav\n", + "Start: 65.14223, end: 70.611346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_9.wav\n", + "Start: 77.260408, end: 82.31746\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_10.wav\n", + "Start: 88.14242, end: 89.060175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_11.wav\n", + "Start: 89.97794, end: 92.543926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514029_12.wav\n", + "Start: 0.55911, end: 4.682534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514030_1.wav\n", + "Start: 5.853183, end: 6.639425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514030_2.wav\n", + "Start: 7.862484, end: 8.937019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514030_3.wav\n", + "Start: 53.560988, end: 55.762485\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514030_4.wav\n", + "Start: 58.81138, end: 59.807298\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514030_5.wav\n", + "Start: 0.32724, end: 9.119076\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_1.wav\n", + "Start: 9.424502, end: 13.39501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_2.wav\n", + "Start: 18.281788, end: 22.950405\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_3.wav\n", + "Start: 29.691544, end: 34.796488\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_4.wav\n", + "Start: 35.08009, end: 38.876077\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_5.wav\n", + "Start: 50.285826, end: 52.881926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_6.wav\n", + "Start: 54.38723, end: 57.834146\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_7.wav\n", + "Start: 63.964444, end: 67.749526\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514729_8.wav\n", + "Start: 0.829888, end: 6.402949\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514731_1.wav\n", + "Start: 6.625608, end: 7.651164\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514731_2.wav\n", + "Start: 7.934537, end: 10.437689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514731_3.wav\n", + "Start: 10.990953, end: 11.119139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC514731_4.wav\n", + "Start: 0.203287, end: 4.080787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC531395_1.wav\n", + "Start: 9.019913, end: 12.904951\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC531395_2.wav\n", + "Start: 0.619447, end: 5.187884\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_1.wav\n", + "Start: 5.652453, end: 9.549807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_2.wav\n", + "Start: 9.917602, end: 12.879328\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_3.wav\n", + "Start: 13.227771, end: 16.131438\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_4.wav\n", + "Start: 16.363721, end: 21.990346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_5.wav\n", + "Start: 22.209751, end: 26.855605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_6.wav\n", + "Start: 27.268567, end: 30.068984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_7.wav\n", + "Start: 31.359497, end: 33.282351\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_8.wav\n", + "Start: 35.514953, end: 38.044349\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_9.wav\n", + "Start: 39.27035, end: 44.135579\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_10.wav\n", + "Start: 44.613069, end: 44.761486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67350_11.wav\n", + "Start: 0.119109, end: 13.856296\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC67351_1.wav\n", + "Start: 0.782435, end: 5.521346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77543_1.wav\n", + "Start: 12.681344, end: 13.80334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77543_2.wav\n", + "Start: 15.028648, end: 17.051165\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77543_3.wav\n", + "Start: 4.345492, end: 7.457079\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77544_1.wav\n", + "Start: 8.270741, end: 10.17523\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77544_2.wav\n", + "Start: 11.605861, end: 11.945634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77544_3.wav\n", + "Start: 12.651998, end: 13.099072\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC77544_4.wav\n", + "Start: 0.091951, end: 9.970931\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Himantopus himantopus\\XC90128_1.wav\n", + "Ixobrychus minutus\n", + "Start: 6.558891, end: 6.854683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_1.wav\n", + "Start: 8.674454, end: 8.931662\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_2.wav\n", + "Start: 10.706424, end: 10.957216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_3.wav\n", + "Start: 12.867, end: 13.124209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_4.wav\n", + "Start: 14.866819, end: 15.156194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_5.wav\n", + "Start: 16.802335, end: 17.123856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_6.wav\n", + "Start: 18.808586, end: 19.097961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_7.wav\n", + "Start: 20.879138, end: 21.1492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_8.wav\n", + "Start: 22.756781, end: 23.071885\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_9.wav\n", + "Start: 24.679437, end: 24.943082\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_10.wav\n", + "Start: 26.614953, end: 26.936453\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_11.wav\n", + "Start: 28.666214, end: 29.013464\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_12.wav\n", + "Start: 30.813929, end: 31.174012\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_13.wav\n", + "Start: 33.07739, end: 33.386036\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_14.wav\n", + "Start: 35.392293, end: 35.688084\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_15.wav\n", + "Start: 37.462845, end: 37.784345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_16.wav\n", + "Start: 39.456233, end: 39.7649\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_17.wav\n", + "Start: 41.436761, end: 41.758261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_18.wav\n", + "Start: 43.378707, end: 43.725937\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_19.wav\n", + "Start: 45.449259, end: 45.757926\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_20.wav\n", + "Start: 49.384594, end: 49.757532\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_21.wav\n", + "Start: 51.519449, end: 51.879532\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_22.wav\n", + "Start: 53.384232, end: 53.680024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_23.wav\n", + "Start: 55.59625, end: 55.956354\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_24.wav\n", + "Start: 57.782547, end: 58.091214\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_25.wav\n", + "Start: 59.775936, end: 60.213186\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_26.wav\n", + "Start: 61.936512, end: 62.322324\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_27.wav\n", + "Start: 63.839877, end: 64.264272\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_28.wav\n", + "Start: 66.051895, end: 66.373416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_29.wav\n", + "Start: 68.315355, end: 68.636876\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_30.wav\n", + "Start: 70.373047, end: 70.707422\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_31.wav\n", + "Start: 72.379296, end: 72.7394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_32.wav\n", + "Start: 75.427251, end: 75.825939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_33.wav\n", + "Start: 77.819318, end: 78.166568\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_34.wav\n", + "Start: 79.812706, end: 80.147081\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_35.wav\n", + "Start: 84.095277, end: 84.506818\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_36.wav\n", + "Start: 86.20441, end: 86.564494\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_37.wav\n", + "Start: 88.326405, end: 88.673655\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_38.wav\n", + "Start: 90.345514, end: 90.705598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_39.wav\n", + "Start: 92.390345, end: 92.72472\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_40.wav\n", + "Start: 94.448037, end: 94.795266\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_41.wav\n", + "Start: 96.402843, end: 96.660073\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_42.wav\n", + "Start: 98.769189, end: 99.077834\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_43.wav\n", + "Start: 100.878322, end: 101.212697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_44.wav\n", + "Start: 103.707648, end: 103.977731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_45.wav\n", + "Start: 107.244305, end: 107.630118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_46.wav\n", + "Start: 131.422179, end: 131.782263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_47.wav\n", + "Start: 133.647058, end: 133.929996\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_48.wav\n", + "Start: 135.756192, end: 136.154879\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_49.wav\n", + "Start: 138.019653, end: 138.366903\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_50.wav\n", + "Start: 140.180229, end: 140.514604\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_51.wav\n", + "Start: 142.250781, end: 142.572301\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_52.wav\n", + "Start: 144.372775, end: 144.720004\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_53.wav\n", + "Start: 146.829144, end: 147.176373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_54.wav\n", + "Start: 148.98972, end: 149.324095\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_55.wav\n", + "Start: 153.207987, end: 153.580946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_56.wav\n", + "Start: 155.368563, end: 155.664355\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_57.wav\n", + "Start: 157.336231, end: 157.68346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_58.wav\n", + "Start: 163.869401, end: 164.203776\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_59.wav\n", + "Start: 170.119639, end: 170.402556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_60.wav\n", + "Start: 175.932617, end: 176.305575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_61.wav\n", + "Start: 178.054611, end: 178.376132\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC103243_62.wav\n", + "Start: 1.17216, end: 1.425868\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_1.wav\n", + "Start: 3.283063, end: 3.531709\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_2.wav\n", + "Start: 5.36352, end: 5.576645\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_3.wav\n", + "Start: 6.764023, end: 6.99744\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_4.wav\n", + "Start: 8.093486, end: 8.266027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_5.wav\n", + "Start: 9.30624, end: 9.539657\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_6.wav\n", + "Start: 10.488549, end: 10.711819\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_7.wav\n", + "Start: 12.426926, end: 12.685717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_8.wav\n", + "Start: 14.619017, end: 14.908246\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_9.wav\n", + "Start: 16.628434, end: 16.87708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_10.wav\n", + "Start: 18.571886, end: 18.820511\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_11.wav\n", + "Start: 19.231543, end: 19.44973\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_12.wav\n", + "Start: 20.961874, end: 21.195291\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_13.wav\n", + "Start: 21.768686, end: 21.986873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_14.wav\n", + "Start: 23.30112, end: 23.544683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_15.wav\n", + "Start: 24.184046, end: 24.371796\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_16.wav\n", + "Start: 25.614994, end: 25.848411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_17.wav\n", + "Start: 28.390629, end: 28.613899\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_18.wav\n", + "Start: 30.613166, end: 30.856728\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_19.wav\n", + "Start: 32.89152, end: 33.104645\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_20.wav\n", + "Start: 35.144503, end: 35.42867\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC106971_21.wav\n", + "Start: 1.14, end: 1.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_1.wav\n", + "Start: 4.12, end: 4.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_2.wav\n", + "Start: 6.57, end: 7.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_3.wav\n", + "Start: 8.6, end: 9.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_4.wav\n", + "Start: 10.67, end: 11.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_5.wav\n", + "Start: 12.9, end: 13.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_6.wav\n", + "Start: 15.13, end: 15.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_7.wav\n", + "Start: 17.21, end: 17.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_8.wav\n", + "Start: 19.35, end: 19.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_9.wav\n", + "Start: 21.57, end: 22.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_10.wav\n", + "Start: 24.2, end: 24.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_11.wav\n", + "Start: 26.58, end: 27.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_12.wav\n", + "Start: 28.98, end: 29.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_13.wav\n", + "Start: 31.44, end: 31.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_14.wav\n", + "Start: 33.81, end: 34.27\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_15.wav\n", + "Start: 36.07, end: 36.55\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_16.wav\n", + "Start: 38.41, end: 38.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_17.wav\n", + "Start: 40.84, end: 41.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_18.wav\n", + "Start: 43.43, end: 43.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_19.wav\n", + "Start: 46.41, end: 46.86\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_20.wav\n", + "Start: 49.12, end: 49.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_21.wav\n", + "Start: 52.22, end: 52.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_22.wav\n", + "Start: 54.54, end: 54.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_23.wav\n", + "Start: 56.92, end: 57.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_24.wav\n", + "Start: 59.21, end: 59.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134761_25.wav\n", + "Start: 1.8, end: 2.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_1.wav\n", + "Start: 6.47, end: 6.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_2.wav\n", + "Start: 8.75, end: 9.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_3.wav\n", + "Start: 11.3, end: 11.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_4.wav\n", + "Start: 13.7, end: 13.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_5.wav\n", + "Start: 19.36, end: 19.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_6.wav\n", + "Start: 21.47, end: 21.76\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_7.wav\n", + "Start: 23.92, end: 24.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_8.wav\n", + "Start: 28.84, end: 29.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_9.wav\n", + "Start: 31.18, end: 31.46\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_10.wav\n", + "Start: 36.09, end: 36.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_11.wav\n", + "Start: 38.64, end: 38.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_12.wav\n", + "Start: 41.04, end: 41.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_13.wav\n", + "Start: 43.58, end: 43.86\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_14.wav\n", + "Start: 45.85, end: 46.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_15.wav\n", + "Start: 55.52, end: 55.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC134762_16.wav\n", + "Start: 0.93, end: 1.2\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_1.wav\n", + "Start: 2.8, end: 3.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_2.wav\n", + "Start: 4.57, end: 4.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_3.wav\n", + "Start: 6.57, end: 6.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_4.wav\n", + "Start: 8.6, end: 8.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_5.wav\n", + "Start: 10.52, end: 10.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_6.wav\n", + "Start: 12.26, end: 12.52\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_7.wav\n", + "Start: 14.23, end: 14.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_8.wav\n", + "Start: 16.22, end: 16.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_9.wav\n", + "Start: 18.19, end: 18.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_10.wav\n", + "Start: 20.04, end: 20.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_11.wav\n", + "Start: 21.84, end: 22.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_12.wav\n", + "Start: 23.74, end: 24.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_13.wav\n", + "Start: 25.82, end: 26.09\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_14.wav\n", + "Start: 27.75, end: 28.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_15.wav\n", + "Start: 29.64, end: 29.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_16.wav\n", + "Start: 31.36, end: 31.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_17.wav\n", + "Start: 33.21, end: 33.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_18.wav\n", + "Start: 37.02, end: 37.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_19.wav\n", + "Start: 39.01, end: 39.27\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_20.wav\n", + "Start: 40.97, end: 41.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_21.wav\n", + "Start: 42.87, end: 43.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_22.wav\n", + "Start: 44.75, end: 45.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_23.wav\n", + "Start: 46.65, end: 46.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_24.wav\n", + "Start: 48.71, end: 48.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_25.wav\n", + "Start: 50.71, end: 50.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_26.wav\n", + "Start: 52.72, end: 52.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_27.wav\n", + "Start: 54.61, end: 54.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_28.wav\n", + "Start: 56.52, end: 56.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_29.wav\n", + "Start: 58.39, end: 58.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_30.wav\n", + "Start: 60.3, end: 60.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_31.wav\n", + "Start: 62.15, end: 62.45\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_32.wav\n", + "Start: 65.81, end: 66.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_33.wav\n", + "Start: 67.59, end: 67.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_34.wav\n", + "Start: 69.57, end: 69.83\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_35.wav\n", + "Start: 71.84, end: 72.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_36.wav\n", + "Start: 75.75, end: 76.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_37.wav\n", + "Start: 77.76, end: 78.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_38.wav\n", + "Start: 79.72, end: 80.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_39.wav\n", + "Start: 81.72, end: 82.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_40.wav\n", + "Start: 85.58, end: 85.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_41.wav\n", + "Start: 87.59, end: 87.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_42.wav\n", + "Start: 89.48, end: 89.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_43.wav\n", + "Start: 91.35, end: 91.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_44.wav\n", + "Start: 93.31, end: 93.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_45.wav\n", + "Start: 95.309038, end: 95.597668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_46.wav\n", + "Start: 99.3, end: 99.533528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_47.wav\n", + "Start: 101.08, end: 101.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_48.wav\n", + "Start: 103.12, end: 103.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_49.wav\n", + "Start: 105.9, end: 106.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_50.wav\n", + "Start: 107.99, end: 108.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_51.wav\n", + "Start: 110.01, end: 110.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_52.wav\n", + "Start: 111.99, end: 112.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_53.wav\n", + "Start: 113.83, end: 114.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_54.wav\n", + "Start: 115.82, end: 116.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_55.wav\n", + "Start: 117.73, end: 117.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_56.wav\n", + "Start: 119.77, end: 120.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_57.wav\n", + "Start: 121.95, end: 122.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_58.wav\n", + "Start: 124.02, end: 124.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_59.wav\n", + "Start: 126.03, end: 126.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_60.wav\n", + "Start: 128.14, end: 128.4\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_61.wav\n", + "Start: 130.24, end: 130.5\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_62.wav\n", + "Start: 132.14, end: 132.4\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_63.wav\n", + "Start: 134.17, end: 134.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_64.wav\n", + "Start: 136.22, end: 136.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_65.wav\n", + "Start: 138.16, end: 138.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_66.wav\n", + "Start: 139.96, end: 140.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_67.wav\n", + "Start: 141.93, end: 142.2\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_68.wav\n", + "Start: 143.9, end: 144.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_69.wav\n", + "Start: 145.71, end: 146.0\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_70.wav\n", + "Start: 147.73, end: 147.99\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_71.wav\n", + "Start: 149.6, end: 149.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_72.wav\n", + "Start: 151.54, end: 151.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_73.wav\n", + "Start: 153.53, end: 153.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_74.wav\n", + "Start: 155.44, end: 155.72\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_75.wav\n", + "Start: 157.38, end: 157.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_76.wav\n", + "Start: 159.35, end: 159.65\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_77.wav\n", + "Start: 161.22, end: 161.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_78.wav\n", + "Start: 163.05, end: 163.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_79.wav\n", + "Start: 164.88, end: 165.16\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_80.wav\n", + "Start: 166.75, end: 167.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_81.wav\n", + "Start: 168.81, end: 169.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_82.wav\n", + "Start: 170.6, end: 170.86\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_83.wav\n", + "Start: 172.42, end: 172.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_84.wav\n", + "Start: 174.36, end: 174.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_85.wav\n", + "Start: 176.23, end: 176.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_86.wav\n", + "Start: 178.06, end: 178.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_87.wav\n", + "Start: 180.08, end: 180.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_88.wav\n", + "Start: 181.98, end: 182.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_89.wav\n", + "Start: 183.99, end: 184.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_90.wav\n", + "Start: 185.77, end: 186.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_91.wav\n", + "Start: 187.63, end: 187.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_92.wav\n", + "Start: 189.6, end: 189.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_93.wav\n", + "Start: 191.42, end: 191.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_94.wav\n", + "Start: 192.42, end: 192.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_95.wav\n", + "Start: 193.29, end: 193.57\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_96.wav\n", + "Start: 195.18, end: 195.46\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_97.wav\n", + "Start: 197.58, end: 197.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_98.wav\n", + "Start: 199.69, end: 200.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_99.wav\n", + "Start: 202.12, end: 202.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_100.wav\n", + "Start: 204.51, end: 204.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_101.wav\n", + "Start: 206.69, end: 206.97\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_102.wav\n", + "Start: 208.59, end: 208.86\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_103.wav\n", + "Start: 210.56, end: 210.85\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_104.wav\n", + "Start: 212.63, end: 212.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_105.wav\n", + "Start: 215.03, end: 215.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_106.wav\n", + "Start: 217.09, end: 217.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_107.wav\n", + "Start: 219.1, end: 219.39\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_108.wav\n", + "Start: 221.1, end: 221.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_109.wav\n", + "Start: 223.83, end: 224.1\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_110.wav\n", + "Start: 225.88, end: 226.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_111.wav\n", + "Start: 227.77, end: 228.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_112.wav\n", + "Start: 231.81, end: 232.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_113.wav\n", + "Start: 233.87, end: 234.14\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_114.wav\n", + "Start: 235.98, end: 236.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_115.wav\n", + "Start: 237.95, end: 238.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_116.wav\n", + "Start: 239.85, end: 240.1\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_117.wav\n", + "Start: 241.82, end: 242.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC146712_118.wav\n", + "Start: 0.835097, end: 1.016639\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_1.wav\n", + "Start: 3.500146, end: 3.681688\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_2.wav\n", + "Start: 6.949461, end: 7.131002\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_3.wav\n", + "Start: 13.739163, end: 13.906184\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_4.wav\n", + "Start: 16.905271, end: 17.072292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_5.wav\n", + "Start: 19.548535, end: 19.737327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_6.wav\n", + "Start: 23.389982, end: 23.549732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_7.wav\n", + "Start: 26.301929, end: 26.505242\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_8.wav\n", + "Start: 30.70979, end: 30.963956\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_9.wav\n", + "Start: 33.897682, end: 34.137307\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_10.wav\n", + "Start: 36.962126, end: 37.18723\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_11.wav\n", + "Start: 45.19691, end: 45.334868\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC149153_12.wav\n", + "Start: 1.19, end: 1.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_1.wav\n", + "Start: 3.04, end: 3.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_2.wav\n", + "Start: 5.17, end: 5.38\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_3.wav\n", + "Start: 10.93, end: 11.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_4.wav\n", + "Start: 12.72, end: 12.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_5.wav\n", + "Start: 14.59, end: 14.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_6.wav\n", + "Start: 18.43, end: 18.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_7.wav\n", + "Start: 20.77, end: 20.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_8.wav\n", + "Start: 22.7, end: 22.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC156081_9.wav\n", + "Start: 0.27, end: 0.51\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_1.wav\n", + "Start: 2.09, end: 2.32\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_2.wav\n", + "Start: 3.94, end: 4.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_3.wav\n", + "Start: 5.79, end: 6.03\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_4.wav\n", + "Start: 7.7, end: 7.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_5.wav\n", + "Start: 9.53, end: 9.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_6.wav\n", + "Start: 11.43, end: 11.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_7.wav\n", + "Start: 13.13, end: 13.37\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_8.wav\n", + "Start: 14.93, end: 15.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_9.wav\n", + "Start: 16.73, end: 16.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_10.wav\n", + "Start: 18.64, end: 18.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_11.wav\n", + "Start: 20.49, end: 20.73\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_12.wav\n", + "Start: 22.320946, end: 22.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_13.wav\n", + "Start: 24.17, end: 24.41\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_14.wav\n", + "Start: 31.06, end: 31.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180287_15.wav\n", + "Start: 10.609872, end: 10.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_1.wav\n", + "Start: 15.08, end: 15.26\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_2.wav\n", + "Start: 18.48, end: 18.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_3.wav\n", + "Start: 21.37, end: 21.55\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_4.wav\n", + "Start: 23.62, end: 23.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_5.wav\n", + "Start: 26.94, end: 27.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_6.wav\n", + "Start: 29.51, end: 29.75\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_7.wav\n", + "Start: 31.61, end: 31.84\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_8.wav\n", + "Start: 33.88, end: 34.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_9.wav\n", + "Start: 37.1, end: 37.31\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_10.wav\n", + "Start: 40.2, end: 40.41\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_11.wav\n", + "Start: 43.13, end: 43.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_12.wav\n", + "Start: 45.38, end: 45.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_13.wav\n", + "Start: 47.88, end: 48.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_14.wav\n", + "Start: 50.24, end: 50.48\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_15.wav\n", + "Start: 52.79, end: 53.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_16.wav\n", + "Start: 54.97, end: 55.22\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_17.wav\n", + "Start: 58.06, end: 58.3\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_18.wav\n", + "Start: 62.1, end: 62.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_19.wav\n", + "Start: 64.37, end: 64.62\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_20.wav\n", + "Start: 66.62, end: 66.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_21.wav\n", + "Start: 69.35, end: 69.6\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_22.wav\n", + "Start: 73.16, end: 73.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_23.wav\n", + "Start: 75.85, end: 76.1\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_24.wav\n", + "Start: 78.68, end: 78.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_25.wav\n", + "Start: 81.83, end: 82.08\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_26.wav\n", + "Start: 85.27, end: 85.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_27.wav\n", + "Start: 87.97, end: 88.23\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_28.wav\n", + "Start: 91.28, end: 91.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_29.wav\n", + "Start: 94.18, end: 94.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_30.wav\n", + "Start: 97.75, end: 98.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_31.wav\n", + "Start: 100.49, end: 100.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_32.wav\n", + "Start: 103.64, end: 103.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_33.wav\n", + "Start: 106.67, end: 106.95\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC180605_34.wav\n", + "Start: 0.908963, end: 1.136686\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_1.wav\n", + "Start: 2.916014, end: 3.139878\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_2.wav\n", + "Start: 6.044313, end: 6.241611\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_3.wav\n", + "Start: 8.630321, end: 8.888922\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_4.wav\n", + "Start: 10.73, end: 10.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_5.wav\n", + "Start: 15.68, end: 15.93\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_6.wav\n", + "Start: 20.251921, end: 20.479644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_7.wav\n", + "Start: 23.08, end: 23.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_8.wav\n", + "Start: 25.18, end: 25.42\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_9.wav\n", + "Start: 30.65, end: 30.866135\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_10.wav\n", + "Start: 36.21, end: 36.416404\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_11.wav\n", + "Start: 38.41, end: 38.628021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_12.wav\n", + "Start: 40.81, end: 41.001745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_13.wav\n", + "Start: 42.96, end: 43.217221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_14.wav\n", + "Start: 45.33, end: 45.567787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_15.wav\n", + "Start: 48.339062, end: 48.616961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_16.wav\n", + "Start: 51.164373, end: 51.434553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_17.wav\n", + "Start: 56.64, end: 56.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_18.wav\n", + "Start: 60.176805, end: 60.376805\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_19.wav\n", + "Start: 62.210177, end: 62.450177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_20.wav\n", + "Start: 65.18, end: 65.406718\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_21.wav\n", + "Start: 68.58, end: 68.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_22.wav\n", + "Start: 70.94, end: 71.15\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_23.wav\n", + "Start: 74.69, end: 74.9\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_24.wav\n", + "Start: 76.88, end: 77.11\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_25.wav\n", + "Start: 79.95, end: 80.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_26.wav\n", + "Start: 82.06, end: 82.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_27.wav\n", + "Start: 85.77, end: 85.990575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_28.wav\n", + "Start: 87.74, end: 87.978327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_29.wav\n", + "Start: 89.95, end: 90.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_30.wav\n", + "Start: 92.79, end: 93.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_31.wav\n", + "Start: 95.35, end: 95.58\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_32.wav\n", + "Start: 100.89, end: 101.105216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_33.wav\n", + "Start: 105.753895, end: 105.983895\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC186806_34.wav\n", + "Start: 5.099251, end: 5.261292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_1.wav\n", + "Start: 8.498752, end: 8.671609\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_2.wav\n", + "Start: 11.257245, end: 11.455295\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_3.wav\n", + "Start: 13.828478, end: 14.04095\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_4.wav\n", + "Start: 16.993903, end: 17.213586\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_5.wav\n", + "Start: 20.152126, end: 20.36818\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_6.wav\n", + "Start: 22.744966, end: 22.968231\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_7.wav\n", + "Start: 25.164949, end: 25.406242\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_8.wav\n", + "Start: 28.351981, end: 28.578852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_9.wav\n", + "Start: 35.244613, end: 35.485906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_10.wav\n", + "Start: 38.492865, end: 38.716153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC245725_11.wav\n", + "Start: 0.816562, end: 1.018416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_1.wav\n", + "Start: 2.536848, end: 2.798327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_2.wav\n", + "Start: 4.234197, end: 4.523217\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_3.wav\n", + "Start: 5.977419, end: 6.197628\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_4.wav\n", + "Start: 8.00965, end: 8.261963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_5.wav\n", + "Start: 9.532677, end: 9.817114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_6.wav\n", + "Start: 11.404347, end: 11.67041\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_7.wav\n", + "Start: 13.289781, end: 13.546676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_8.wav\n", + "Start: 14.987129, end: 15.202733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC253188_9.wav\n", + "Start: 1.209872, end: 1.45316\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_1.wav\n", + "Start: 4.050442, end: 4.326588\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_2.wav\n", + "Start: 6.923889, end: 7.213186\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_3.wav\n", + "Start: 9.830213, end: 10.145837\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_4.wav\n", + "Start: 12.756264, end: 13.085039\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_5.wav\n", + "Start: 17.181503, end: 17.503703\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_6.wav\n", + "Start: 20.548105, end: 20.837425\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_7.wav\n", + "Start: 32.844091, end: 33.139987\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_8.wav\n", + "Start: 36.723573, end: 36.980013\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_9.wav\n", + "Start: 44.423359, end: 44.673223\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270427_10.wav\n", + "Start: 0.729398, end: 0.99153\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_1.wav\n", + "Start: 3.779956, end: 4.072473\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_2.wav\n", + "Start: 6.560787, end: 6.845708\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_3.wav\n", + "Start: 9.584752, end: 9.873459\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_4.wav\n", + "Start: 12.483351, end: 12.768272\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_5.wav\n", + "Start: 15.313569, end: 15.606086\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_6.wav\n", + "Start: 18.64145, end: 18.952969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_7.wav\n", + "Start: 21.779383, end: 22.033918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_8.wav\n", + "Start: 25.016089, end: 25.312392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC270428_9.wav\n", + "Start: 2.178582, end: 2.357471\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC288186_1.wav\n", + "Start: 9.442463, end: 9.609538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_1.wav\n", + "Start: 13.43778, end: 13.575172\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_2.wav\n", + "Start: 14.58142, end: 14.722509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_3.wav\n", + "Start: 16.31916, end: 16.41941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_4.wav\n", + "Start: 17.581621, end: 17.722732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_5.wav\n", + "Start: 17.94922, end: 18.101442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_6.wav\n", + "Start: 20.325616, end: 20.548405\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_7.wav\n", + "Start: 22.089348, end: 22.241593\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_8.wav\n", + "Start: 23.43721, end: 23.589455\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC340917_9.wav\n", + "Start: 3.120569, end: 3.387236\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35968_1.wav\n", + "Start: 11.46611, end: 11.689526\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35968_2.wav\n", + "Start: 14.038958, end: 14.247958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35968_3.wav\n", + "Start: 16.719909, end: 16.986554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35968_4.wav\n", + "Start: 19.184654, end: 19.436904\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35968_5.wav\n", + "Start: 4.894574, end: 5.244782\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35969_1.wav\n", + "Start: 7.154249, end: 7.496124\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35969_2.wav\n", + "Start: 13.924937, end: 14.3085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35969_3.wav\n", + "Start: 18.402597, end: 18.752805\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35969_4.wav\n", + "Start: 20.804023, end: 21.12921\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35969_5.wav\n", + "Start: 25.531831, end: 25.90706\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC35969_6.wav\n", + "Start: 0.51106, end: 0.770402\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC373853_1.wav\n", + "Start: 2.929058, end: 3.234183\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC373853_2.wav\n", + "Start: 5.896255, end: 6.163216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC373853_3.wav\n", + "Start: 8.321881, end: 8.604103\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC373853_4.wav\n", + "Start: 10.480536, end: 10.755116\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC373853_5.wav\n", + "Start: 12.593424, end: 12.875646\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC373853_6.wav\n", + "Start: 2.011783, end: 2.167429\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_1.wav\n", + "Start: 4.246771, end: 4.334867\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_2.wav\n", + "Start: 6.417148, end: 6.56107\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_3.wav\n", + "Start: 8.613956, end: 8.801938\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_4.wav\n", + "Start: 12.922402, end: 13.133854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_5.wav\n", + "Start: 17.48636, end: 17.680215\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_6.wav\n", + "Start: 19.683168, end: 19.871127\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC376813_7.wav\n", + "Start: 2.66031, end: 2.912328\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_1.wav\n", + "Start: 6.454753, end: 6.720784\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_2.wav\n", + "Start: 11.502341, end: 11.726378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_3.wav\n", + "Start: 14.75072, end: 14.988747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_4.wav\n", + "Start: 18.055105, end: 18.300139\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_5.wav\n", + "Start: 20.41438, end: 20.673405\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_6.wav\n", + "Start: 22.668643, end: 22.934675\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC377102_7.wav\n", + "Start: 0.334821, end: 0.5838\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_1.wav\n", + "Start: 2.584128, end: 2.81592\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_2.wav\n", + "Start: 4.361253, end: 4.635982\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_3.wav\n", + "Start: 6.696411, end: 6.936786\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_4.wav\n", + "Start: 8.945719, end: 9.220427\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_5.wav\n", + "Start: 11.057664, end: 11.32381\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_6.wav\n", + "Start: 13.573111, end: 13.856423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379836_7.wav\n", + "Start: 0.449328, end: 0.671078\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_1.wav\n", + "Start: 0.939504, end: 1.073733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_2.wav\n", + "Start: 2.608437, end: 2.87102\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_3.wav\n", + "Start: 3.297017, end: 3.47208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_4.wav\n", + "Start: 4.814229, end: 5.088499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_5.wav\n", + "Start: 5.695378, end: 5.899628\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_6.wav\n", + "Start: 7.101717, end: 7.358487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_7.wav\n", + "Start: 8.163765, end: 8.373827\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_8.wav\n", + "Start: 12.499488, end: 12.756259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_9.wav\n", + "Start: 14.757799, end: 15.026236\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379837_10.wav\n", + "Start: 0.972288, end: 1.296371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_1.wav\n", + "Start: 3.073848, end: 3.332098\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_2.wav\n", + "Start: 5.276688, end: 5.529896\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_3.wav\n", + "Start: 7.363056, end: 7.611181\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_4.wav\n", + "Start: 9.986208, end: 10.22927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_5.wav\n", + "Start: 12.45744, end: 12.680252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_6.wav\n", + "Start: 15.581928, end: 15.804741\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_7.wav\n", + "Start: 17.916432, end: 18.174682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_8.wav\n", + "Start: 20.063568, end: 20.26613\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_9.wav\n", + "Start: 23.891952, end: 24.114764\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_10.wav\n", + "Start: 25.6998, end: 25.947946\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_11.wav\n", + "Start: 27.791232, end: 28.003919\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_12.wav\n", + "Start: 30.070032, end: 30.38399\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_13.wav\n", + "Start: 34.323792, end: 34.556729\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC379838_14.wav\n", + "Start: 0.443746, end: 0.640548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_1.wav\n", + "Start: 2.365358, end: 2.60461\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_2.wav\n", + "Start: 4.151917, end: 4.395001\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_3.wav\n", + "Start: 5.78413, end: 6.000207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_4.wav\n", + "Start: 9.241488, end: 9.484572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_5.wav\n", + "Start: 14.666762, end: 14.921434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_6.wav\n", + "Start: 16.403159, end: 16.642411\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_7.wav\n", + "Start: 21.843868, end: 22.133256\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_8.wav\n", + "Start: 23.730752, end: 24.01243\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_9.wav\n", + "Start: 25.787417, end: 26.007372\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC416949_10.wav\n", + "Start: 1.35483, end: 1.528911\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC423144_1.wav\n", + "Start: 3.791845, end: 3.957537\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC423144_2.wav\n", + "Start: 6.7343, end: 6.923053\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC423144_3.wav\n", + "Start: 9.292957, end: 9.467038\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC423144_4.wav\n", + "Start: 12.33608, end: 12.512248\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC423144_5.wav\n", + "Start: 3.526848, end: 3.729015\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC431155_1.wav\n", + "Start: 4.26294, end: 4.46594\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC431157_1.wav\n", + "Start: 27.984079, end: 28.201829\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC431157_2.wav\n", + "Start: 4.489632, end: 4.694445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC431158_1.wav\n", + "Start: 2.254114, end: 2.456404\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC434438_1.wav\n", + "Start: 1.162944, end: 1.280631\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC478498_1.wav\n", + "Start: 5.334775, end: 5.493983\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC478498_2.wav\n", + "Start: 7.59144, end: 7.739128\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC478498_3.wav\n", + "Start: 10.394966, end: 10.531112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC478498_4.wav\n", + "Start: 14.008399, end: 14.153774\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC478498_5.wav\n", + "Start: 1.625145, end: 1.752854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC489445_1.wav\n", + "Start: 1.61686, end: 1.856906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC490614_1.wav\n", + "Start: 10.527242, end: 10.753183\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC490614_2.wav\n", + "Start: 2.448823, end: 2.629299\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC491787_1.wav\n", + "Start: 1.98, end: 2.19\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_1.wav\n", + "Start: 4.57, end: 4.79\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_2.wav\n", + "Start: 6.89, end: 7.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_3.wav\n", + "Start: 9.32, end: 9.54\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_4.wav\n", + "Start: 14.68, end: 14.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_5.wav\n", + "Start: 17.46, end: 17.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_6.wav\n", + "Start: 20.4, end: 20.63\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_7.wav\n", + "Start: 22.98, end: 23.2\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_8.wav\n", + "Start: 25.44, end: 25.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_9.wav\n", + "Start: 28.55, end: 28.77\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_10.wav\n", + "Start: 31.26, end: 31.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_11.wav\n", + "Start: 34.21, end: 34.44\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_12.wav\n", + "Start: 36.98, end: 37.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_13.wav\n", + "Start: 41.37, end: 41.59\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_14.wav\n", + "Start: 43.73, end: 43.96\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_15.wav\n", + "Start: 46.38, end: 46.61\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_16.wav\n", + "Start: 49.06, end: 49.29\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_17.wav\n", + "Start: 52.02, end: 52.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_18.wav\n", + "Start: 55.12, end: 55.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_19.wav\n", + "Start: 57.83, end: 58.05\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_20.wav\n", + "Start: 60.79, end: 61.02\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_21.wav\n", + "Start: 63.46, end: 63.69\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_22.wav\n", + "Start: 66.84, end: 67.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_23.wav\n", + "Start: 69.68, end: 69.91\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_24.wav\n", + "Start: 72.32, end: 72.56\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_25.wav\n", + "Start: 75.02, end: 75.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_26.wav\n", + "Start: 80.64, end: 80.87\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_27.wav\n", + "Start: 84.02, end: 84.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_28.wav\n", + "Start: 86.98, end: 87.21\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_29.wav\n", + "Start: 89.66, end: 89.89\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_30.wav\n", + "Start: 92.51, end: 92.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538467_31.wav\n", + "Start: 0.96, end: 1.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_1.wav\n", + "Start: 3.44, end: 3.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_2.wav\n", + "Start: 5.63, end: 5.930935\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_3.wav\n", + "Start: 7.21, end: 7.33\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_4.wav\n", + "Start: 7.63, end: 7.88\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_5.wav\n", + "Start: 9.8, end: 10.06\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_6.wav\n", + "Start: 11.93, end: 12.24\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_7.wav\n", + "Start: 16.268654, end: 16.554432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_8.wav\n", + "Start: 18.51, end: 18.74\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_9.wav\n", + "Start: 22.83, end: 23.07\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_10.wav\n", + "Start: 24.995246, end: 25.301733\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_11.wav\n", + "Start: 28.73, end: 28.98\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_12.wav\n", + "Start: 30.884274, end: 31.14155\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_13.wav\n", + "Start: 37.813851, end: 38.066496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_14.wav\n", + "Start: 39.84, end: 40.112503\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_15.wav\n", + "Start: 42.13, end: 42.378021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_16.wav\n", + "Start: 42.95, end: 43.68\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_17.wav\n", + "Start: 46.1, end: 46.35\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_18.wav\n", + "Start: 54.87, end: 55.12\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_19.wav\n", + "Start: 59.92, end: 60.17\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_20.wav\n", + "Start: 66.88, end: 67.13\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_21.wav\n", + "Start: 69.01, end: 69.28\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_22.wav\n", + "Start: 74.56, end: 74.82\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_23.wav\n", + "Start: 77.56, end: 77.81\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_24.wav\n", + "Start: 84.19, end: 84.46\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_25.wav\n", + "Start: 86.38, end: 86.66\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_26.wav\n", + "Start: 93.68, end: 93.94\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_27.wav\n", + "Start: 95.94, end: 96.25\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_28.wav\n", + "Start: 98.3, end: 98.585225\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_29.wav\n", + "Start: 100.74, end: 101.04\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_30.wav\n", + "Start: 105.725541, end: 106.01\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_31.wav\n", + "Start: 107.87, end: 108.16\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_32.wav\n", + "Start: 110.23, end: 110.49\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_33.wav\n", + "Start: 115.01, end: 115.28\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC538478_34.wav\n", + "Start: 3.095436, end: 3.283236\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC539686_1.wav\n", + "Start: 0.252549, end: 0.404965\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_1.wav\n", + "Start: 2.312126, end: 2.486292\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_2.wav\n", + "Start: 4.463143, end: 4.619893\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_3.wav\n", + "Start: 6.688183, end: 6.879766\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_4.wav\n", + "Start: 9.183189, end: 9.357355\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_5.wav\n", + "Start: 11.482251, end: 11.682543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_6.wav\n", + "Start: 13.676811, end: 13.803082\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Ixobrychus minutus\\XC67347_7.wav\n", + "Motacilla flava\n", + "Start: 1.359182, end: 2.066161\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_1.wav\n", + "Start: 9.481389, end: 10.056847\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_2.wav\n", + "Start: 18.053002, end: 18.798356\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_3.wav\n", + "Start: 26.865761, end: 27.742636\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_4.wav\n", + "Start: 37.081546, end: 37.958442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_5.wav\n", + "Start: 44.88588, end: 45.488755\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_6.wav\n", + "Start: 53.04097, end: 53.819199\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_7.wav\n", + "Start: 62.938882, end: 63.541757\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_8.wav\n", + "Start: 73.516385, end: 74.108302\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102793_9.wav\n", + "Start: 0.740023, end: 1.36321\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102794_1.wav\n", + "Start: 15.345737, end: 15.959195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102794_2.wav\n", + "Start: 28.997211, end: 30.116982\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC102794_3.wav\n", + "Start: 1.048122, end: 1.544177\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_1.wav\n", + "Start: 10.569232, end: 11.081296\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_2.wav\n", + "Start: 21.082458, end: 21.602526\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_3.wav\n", + "Start: 27.651224, end: 28.163288\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_4.wav\n", + "Start: 34.980079, end: 35.476156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_5.wav\n", + "Start: 42.308933, end: 42.829001\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_6.wav\n", + "Start: 45.629321, end: 46.629434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_7.wav\n", + "Start: 54.246325, end: 54.790384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC103696_8.wav\n", + "Start: 1.154304, end: 2.100179\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC134257_1.wav\n", + "Start: 10.34064, end: 11.318577\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC134257_2.wav\n", + "Start: 14.316576, end: 15.214368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC134257_3.wav\n", + "Start: 25.89168, end: 26.805492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC134257_4.wav\n", + "Start: 24.771232, end: 25.864202\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154563_1.wav\n", + "Start: 1.952592, end: 2.6573\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_1.wav\n", + "Start: 6.026609, end: 6.489067\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_2.wav\n", + "Start: 8.140694, end: 9.175715\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_3.wav\n", + "Start: 14.424223, end: 15.077535\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_4.wav\n", + "Start: 20.326042, end: 21.148188\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_5.wav\n", + "Start: 26.954578, end: 27.593203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_6.wav\n", + "Start: 34.581432, end: 35.432932\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_7.wav\n", + "Start: 41.356779, end: 41.936696\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_8.wav\n", + "Start: 47.258599, end: 47.86787\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC154909_9.wav\n", + "Start: 30.886706, end: 33.49047\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC155710_1.wav\n", + "Start: 49.886653, end: 53.264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC155710_2.wav\n", + "Start: 61.830016, end: 65.622442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC155710_3.wav\n", + "Start: 0.412167, end: 1.093823\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC164172_1.wav\n", + "Start: 3.984285, end: 4.665941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC164172_2.wav\n", + "Start: 7.302762, end: 8.031968\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC164172_3.wav\n", + "Start: 12.174793, end: 12.925156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC164172_4.wav\n", + "Start: 16.486699, end: 17.205361\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC164172_5.wav\n", + "Start: 3.282502, end: 5.000099\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_1.wav\n", + "Start: 10.649048, end: 11.755941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_2.wav\n", + "Start: 17.061381, end: 17.805666\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_3.wav\n", + "Start: 21.145424, end: 22.175991\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_4.wav\n", + "Start: 28.263873, end: 29.332581\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_5.wav\n", + "Start: 34.370854, end: 35.210559\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_6.wav\n", + "Start: 39.790795, end: 40.487371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_7.wav\n", + "Start: 45.258451, end: 45.945481\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_8.wav\n", + "Start: 51.145964, end: 51.823447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_9.wav\n", + "Start: 57.491499, end: 58.159458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_10.wav\n", + "Start: 64.151924, end: 64.800791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184433_11.wav\n", + "Start: 1.424539, end: 2.173337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_1.wav\n", + "Start: 5.351154, end: 6.136483\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_2.wav\n", + "Start: 20.144446, end: 21.185466\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_3.wav\n", + "Start: 32.362609, end: 33.056623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_4.wav\n", + "Start: 26.500083, end: 27.002305\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_5.wav\n", + "Start: 49.447949, end: 50.461554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_6.wav\n", + "Start: 61.364767, end: 61.98572\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC184434_7.wav\n", + "Start: 1.44281, end: 2.153286\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_1.wav\n", + "Start: 7.662196, end: 8.339883\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_2.wav\n", + "Start: 13.608322, end: 13.903447\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_3.wav\n", + "Start: 18.483271, end: 19.160958\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_4.wav\n", + "Start: 23.707992, end: 24.396609\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_5.wav\n", + "Start: 32.047871, end: 32.65998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_6.wav\n", + "Start: 42.781503, end: 43.448261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_7.wav\n", + "Start: 50.815332, end: 51.46023\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_8.wav\n", + "Start: 56.630294, end: 57.32984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_9.wav\n", + "Start: 62.062692, end: 62.696638\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_10.wav\n", + "Start: 67.221831, end: 67.877659\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_11.wav\n", + "Start: 71.856312, end: 72.533999\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC208705_12.wav\n", + "Start: 1.137894, end: 1.816034\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC223168_1.wav\n", + "Start: 5.930841, end: 6.551521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC223168_2.wav\n", + "Start: 9.953698, end: 10.528392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC223168_3.wav\n", + "Start: 14.091494, end: 14.735145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC223168_4.wav\n", + "Start: 19.068343, end: 19.643037\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC223168_5.wav\n", + "Start: 1.497278, end: 2.324132\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_1.wav\n", + "Start: 5.352209, end: 6.592501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_2.wav\n", + "Start: 9.799347, end: 10.570327\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_3.wav\n", + "Start: 14.995125, end: 15.721416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_4.wav\n", + "Start: 19.297005, end: 20.000963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_5.wav\n", + "Start: 22.023391, end: 23.017849\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_6.wav\n", + "Start: 23.185457, end: 23.665915\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_7.wav\n", + "Start: 25.990059, end: 26.392309\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_8.wav\n", + "Start: 30.627151, end: 31.286401\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_9.wav\n", + "Start: 35.336871, end: 36.051976\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_10.wav\n", + "Start: 41.867907, end: 42.594199\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_11.wav\n", + "Start: 46.108332, end: 46.773165\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_12.wav\n", + "Start: 50.460494, end: 51.136494\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_13.wav\n", + "Start: 55.326646, end: 55.99148\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_14.wav\n", + "Start: 62.276697, end: 63.002988\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_15.wav\n", + "Start: 67.595385, end: 68.321676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_16.wav\n", + "Start: 70.444682, end: 71.651432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_17.wav\n", + "Start: 75.126468, end: 76.606989\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252756_18.wav\n", + "Start: 3.129463, end: 3.936546\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_1.wav\n", + "Start: 6.934231, end: 7.955418\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_2.wav\n", + "Start: 12.616677, end: 13.324927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_3.wav\n", + "Start: 17.228517, end: 18.002642\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_4.wav\n", + "Start: 21.70859, end: 22.499194\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_5.wav\n", + "Start: 26.172192, end: 26.995734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_6.wav\n", + "Start: 31.442866, end: 31.95345\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_7.wav\n", + "Start: 35.74176, end: 36.45001\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_8.wav\n", + "Start: 39.744178, end: 40.56772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_9.wav\n", + "Start: 46.530171, end: 47.057234\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_10.wav\n", + "Start: 51.68555, end: 52.525571\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_11.wav\n", + "Start: 56.758574, end: 57.582115\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_12.wav\n", + "Start: 60.382162, end: 61.139808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_13.wav\n", + "Start: 66.591675, end: 67.448175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_14.wav\n", + "Start: 73.344727, end: 73.855331\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_15.wav\n", + "Start: 78.285984, end: 79.290713\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_16.wav\n", + "Start: 82.041339, end: 83.359006\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_17.wav\n", + "Start: 86.867301, end: 87.674384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_18.wav\n", + "Start: 90.392064, end: 91.182668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_19.wav\n", + "Start: 94.789783, end: 95.415658\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_20.wav\n", + "Start: 98.923968, end: 99.928697\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_21.wav\n", + "Start: 104.91936, end: 105.677027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_22.wav\n", + "Start: 110.091209, end: 110.93123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC252757_23.wav\n", + "Start: 1.539355, end: 2.207359\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_1.wav\n", + "Start: 7.812952, end: 8.451932\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_2.wav\n", + "Start: 15.190238, end: 15.887312\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_3.wav\n", + "Start: 22.509434, end: 23.264582\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_4.wav\n", + "Start: 29.044431, end: 29.741506\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_5.wav\n", + "Start: 36.450762, end: 37.147814\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_6.wav\n", + "Start: 42.956714, end: 43.537599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_7.wav\n", + "Start: 49.5498, end: 50.30497\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_8.wav\n", + "Start: 54.40022, end: 55.184415\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_9.wav\n", + "Start: 62.126039, end: 62.823114\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_10.wav\n", + "Start: 70.113258, end: 70.81031\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_11.wav\n", + "Start: 79.610773, end: 80.148097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_12.wav\n", + "Start: 86.05865, end: 86.668605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_13.wav\n", + "Start: 92.927659, end: 93.508543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_14.wav\n", + "Start: 105.169886, end: 105.721723\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_15.wav\n", + "Start: 112.343861, end: 112.82309\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_16.wav\n", + "Start: 120.389169, end: 120.95554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_17.wav\n", + "Start: 127.417921, end: 128.01334\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_18.wav\n", + "Start: 133.168718, end: 133.749625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_19.wav\n", + "Start: 139.99416, end: 140.531484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_20.wav\n", + "Start: 149.665955, end: 150.217792\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_21.wav\n", + "Start: 155.910508, end: 156.462368\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_22.wav\n", + "Start: 164.870715, end: 165.422552\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_23.wav\n", + "Start: 172.465834, end: 173.046719\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_24.wav\n", + "Start: 178.768476, end: 179.320313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_25.wav\n", + "Start: 184.054562, end: 185.056603\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_26.wav\n", + "Start: 187.961038, end: 188.600018\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_27.wav\n", + "Start: 191.57707, end: 192.143442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_28.wav\n", + "Start: 199.912822, end: 200.508241\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC270056_29.wav\n", + "Start: 1.950078, end: 2.730123\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_1.wav\n", + "Start: 6.630266, end: 7.459041\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_2.wav\n", + "Start: 11.456709, end: 12.200178\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_3.wav\n", + "Start: 15.820009, end: 16.68536\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_4.wav\n", + "Start: 20.488008, end: 21.377736\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_5.wav\n", + "Start: 26.862326, end: 27.752032\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_6.wav\n", + "Start: 33.516968, end: 34.370143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_7.wav\n", + "Start: 39.757218, end: 40.634769\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_8.wav\n", + "Start: 45.034617, end: 45.924322\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_9.wav\n", + "Start: 50.787347, end: 51.530817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_10.wav\n", + "Start: 56.479138, end: 57.222607\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_11.wav\n", + "Start: 61.768725, end: 62.244054\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_12.wav\n", + "Start: 68.252735, end: 69.044934\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_13.wav\n", + "Start: 73.603262, end: 74.41986\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_14.wav\n", + "Start: 78.478457, end: 79.282856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_15.wav\n", + "Start: 83.231772, end: 84.023995\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281357_16.wav\n", + "Start: 7.677746, end: 8.362939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281358_1.wav\n", + "Start: 14.231062, end: 14.810836\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281358_2.wav\n", + "Start: 19.31735, end: 19.800501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281358_3.wav\n", + "Start: 23.885345, end: 24.667159\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281358_4.wav\n", + "Start: 29.296662, end: 29.814939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281358_5.wav\n", + "Start: 1.056183, end: 1.667657\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_1.wav\n", + "Start: 6.448274, end: 7.115326\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_2.wav\n", + "Start: 14.230674, end: 14.911627\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_3.wav\n", + "Start: 16.078994, end: 16.746046\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_4.wav\n", + "Start: 19.26144, end: 19.956293\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_5.wav\n", + "Start: 20.567771, end: 21.262624\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_6.wav\n", + "Start: 23.916983, end: 24.486756\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_7.wav\n", + "Start: 29.211794, end: 29.892747\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_8.wav\n", + "Start: 32.157989, end: 32.797263\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_9.wav\n", + "Start: 39.69024, end: 41.052145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_10.wav\n", + "Start: 46.124617, end: 47.403143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281359_11.wav\n", + "Start: 1.629257, end: 2.413724\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_1.wav\n", + "Start: 10.56, end: 11.324354\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_2.wav\n", + "Start: 18.806857, end: 19.551098\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_3.wav\n", + "Start: 27.777829, end: 28.501956\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_4.wav\n", + "Start: 35.702857, end: 36.426961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_5.wav\n", + "Start: 42.612104, end: 43.336209\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_6.wav\n", + "Start: 49.390629, end: 50.104688\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_7.wav\n", + "Start: 59.6288, end: 60.332791\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_8.wav\n", + "Start: 68.348343, end: 69.062402\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC281360_9.wav\n", + "Start: 0.320338, end: 0.998713\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_1.wav\n", + "Start: 4.089024, end: 4.748545\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_2.wav\n", + "Start: 6.303127, end: 7.019189\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_3.wav\n", + "Start: 8.083831, end: 8.441852\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_4.wav\n", + "Start: 13.030231, end: 13.670918\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_5.wav\n", + "Start: 17.816462, end: 18.909378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_6.wav\n", + "Start: 20.859675, end: 21.189446\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_7.wav\n", + "Start: 21.952594, end: 22.630948\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_8.wav\n", + "Start: 26.060462, end: 26.390233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_9.wav\n", + "Start: 27.106272, end: 28.161501\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_10.wav\n", + "Start: 31.204718, end: 32.269384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC296053_11.wav\n", + "Start: 1.886318, end: 3.029547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_1.wav\n", + "Start: 0.271515, end: 0.643057\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_2.wav\n", + "Start: 11.189294, end: 12.40396\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_3.wav\n", + "Start: 19.206144, end: 19.806332\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_4.wav\n", + "Start: 21.578331, end: 21.949873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_5.wav\n", + "Start: 22.350007, end: 22.778715\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_6.wav\n", + "Start: 23.02165, end: 23.364629\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_7.wav\n", + "Start: 23.950519, end: 24.279186\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC307038_8.wav\n", + "Start: 1.178869, end: 1.551681\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_1.wav\n", + "Start: 3.33509, end: 4.131099\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_2.wav\n", + "Start: 7.29488, end: 7.738214\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_3.wav\n", + "Start: 10.216863, end: 10.589652\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_4.wav\n", + "Start: 12.745889, end: 13.027998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_5.wav\n", + "Start: 15.617493, end: 16.030599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_6.wav\n", + "Start: 18.065913, end: 18.489087\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_7.wav\n", + "Start: 22.620175, end: 23.063508\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_8.wav\n", + "Start: 25.260035, end: 25.713436\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_9.wav\n", + "Start: 27.799137, end: 28.524602\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_10.wav\n", + "Start: 38.539942, end: 39.396404\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_11.wav\n", + "Start: 41.945563, end: 42.489667\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_12.wav\n", + "Start: 44.666029, end: 45.119431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_13.wav\n", + "Start: 47.708921, end: 48.555293\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_14.wav\n", + "Start: 52.948338, end: 53.724166\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_15.wav\n", + "Start: 50.761889, end: 51.15486\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_16.wav\n", + "Start: 56.585703, end: 57.0089\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_17.wav\n", + "Start: 59.296093, end: 59.739427\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_18.wav\n", + "Start: 61.694134, end: 62.419599\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_19.wav\n", + "Start: 65.210589, end: 65.633764\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_20.wav\n", + "Start: 70.067125, end: 70.460096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314267_21.wav\n", + "Start: 0.980532, end: 1.179489\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314269_1.wav\n", + "Start: 10.771644, end: 11.048742\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC314269_2.wav\n", + "Start: 3.146561, end: 3.763772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_1.wav\n", + "Start: 16.77359, end: 17.596538\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_2.wav\n", + "Start: 29.178302, end: 29.807621\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_3.wav\n", + "Start: 40.639045, end: 41.256256\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_4.wav\n", + "Start: 49.606743, end: 50.018217\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_5.wav\n", + "Start: 58.368705, end: 59.094828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_6.wav\n", + "Start: 66.223005, end: 66.791804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_7.wav\n", + "Start: 74.900252, end: 75.735309\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_8.wav\n", + "Start: 82.839268, end: 83.976864\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_9.wav\n", + "Start: 95.81278, end: 96.780944\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_10.wav\n", + "Start: 101.621816, end: 102.178528\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_11.wav\n", + "Start: 108.919417, end: 109.633453\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_12.wav\n", + "Start: 135.168996, end: 135.519949\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_13.wav\n", + "Start: 137.891982, end: 138.545497\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_14.wav\n", + "Start: 146.750761, end: 147.380058\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_15.wav\n", + "Start: 154.665572, end: 155.004416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_16.wav\n", + "Start: 166.283643, end: 166.804029\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC316371_17.wav\n", + "Start: 5.392491, end: 5.654262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_1.wav\n", + "Start: 6.491931, end: 6.971848\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_2.wav\n", + "Start: 8.097463, end: 8.367963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_3.wav\n", + "Start: 9.4674, end: 9.750983\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_4.wav\n", + "Start: 10.946406, end: 11.208198\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_5.wav\n", + "Start: 16.090217, end: 16.378175\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_6.wav\n", + "Start: 17.4078, end: 17.687029\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_7.wav\n", + "Start: 18.769011, end: 19.039491\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_8.wav\n", + "Start: 57.397749, end: 57.711874\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_9.wav\n", + "Start: 58.715331, end: 59.151623\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_10.wav\n", + "Start: 60.268509, end: 60.539009\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_11.wav\n", + "Start: 53.636966, end: 53.898737\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_12.wav\n", + "Start: 52.171046, end: 52.642233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_13.wav\n", + "Start: 50.94072, end: 51.211199\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_14.wav\n", + "Start: 49.65804, end: 49.919811\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_15.wav\n", + "Start: 48.331731, end: 48.610961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_16.wav\n", + "Start: 40.653103, end: 41.002124\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_17.wav\n", + "Start: 37.01448, end: 37.276251\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_18.wav\n", + "Start: 34.414217, end: 34.728342\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_19.wav\n", + "Start: 33.122811, end: 33.393311\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_20.wav\n", + "Start: 29.161337, end: 29.423108\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC324343_21.wav\n", + "Start: 0.165198, end: 1.039779\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345884_1.wav\n", + "Start: 4.382616, end: 4.926811\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345884_2.wav\n", + "Start: 9.358002, end: 10.193716\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345884_3.wav\n", + "Start: 15.460624, end: 15.975635\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345884_4.wav\n", + "Start: 0.270336, end: 0.881232\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345889_1.wav\n", + "Start: 3.900562, end: 4.500916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345889_2.wav\n", + "Start: 0.769776, end: 1.713835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_1.wav\n", + "Start: 7.160372, end: 8.249692\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_2.wav\n", + "Start: 14.887184, end: 15.802195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_3.wav\n", + "Start: 22.367086, end: 23.28212\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_4.wav\n", + "Start: 29.658175, end: 30.631281\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_5.wav\n", + "Start: 33.608725, end: 34.494689\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_6.wav\n", + "Start: 41.524349, end: 42.453896\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_7.wav\n", + "Start: 49.164016, end: 50.04998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC345951_8.wav\n", + "Start: 1.608038, end: 2.082551\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC372401_1.wav\n", + "Start: 7.051643, end: 7.499806\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC372401_2.wav\n", + "Start: 15.105015, end: 15.513609\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC372401_3.wav\n", + "Start: 21.214242, end: 21.398777\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC372401_4.wav\n", + "Start: 3.090375, end: 3.457019\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_1.wav\n", + "Start: 6.704543, end: 7.058103\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_2.wav\n", + "Start: 12.387691, end: 12.649595\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_3.wav\n", + "Start: 17.193486, end: 17.53394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_4.wav\n", + "Start: 21.75048, end: 22.143337\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_5.wav\n", + "Start: 27.106258, end: 27.446711\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_6.wav\n", + "Start: 32.317992, end: 32.671552\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_7.wav\n", + "Start: 37.254736, end: 37.529725\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_8.wav\n", + "Start: 43.736667, end: 44.037846\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_9.wav\n", + "Start: 48.188903, end: 48.476975\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_10.wav\n", + "Start: 52.785181, end: 53.112573\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_11.wav\n", + "Start: 58.075485, end: 58.455235\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_12.wav\n", + "Start: 61.048007, end: 61.336102\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_13.wav\n", + "Start: 64.059813, end: 64.387183\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_14.wav\n", + "Start: 67.647791, end: 67.988245\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_15.wav\n", + "Start: 71.366717, end: 71.733384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_16.wav\n", + "Start: 86.988826, end: 87.329302\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_17.wav\n", + "Start: 78.75219, end: 78.987882\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_18.wav\n", + "Start: 82.379453, end: 82.641335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC379953_19.wav\n", + "Start: 0.955598, end: 2.850598\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_1.wav\n", + "Start: 6.462432, end: 8.049682\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_2.wav\n", + "Start: 11.677728, end: 13.718499\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_3.wav\n", + "Start: 16.925417, end: 22.51323\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_4.wav\n", + "Start: 23.404046, end: 26.189858\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_5.wav\n", + "Start: 30.61152, end: 33.86702\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_6.wav\n", + "Start: 34.774039, end: 37.559851\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_7.wav\n", + "Start: 38.855575, end: 40.135096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_8.wav\n", + "Start: 44.249033, end: 45.949658\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_9.wav\n", + "Start: 51.164969, end: 52.533573\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_10.wav\n", + "Start: 56.590821, end: 57.708383\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_11.wav\n", + "Start: 63.020859, end: 64.494755\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_12.wav\n", + "Start: 70.884295, end: 72.568732\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_13.wav\n", + "Start: 78.27803, end: 80.237821\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_14.wav\n", + "Start: 85.906615, end: 88.255115\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_15.wav\n", + "Start: 94.183063, end: 96.547771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_16.wav\n", + "Start: 99.803273, end: 101.746856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_17.wav\n", + "Start: 109.40784, end: 111.553903\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC422437_18.wav\n", + "Start: 4.803634, end: 5.034259\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_1.wav\n", + "Start: 6.625029, end: 6.898633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_2.wav\n", + "Start: 8.430789, end: 8.673122\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_3.wav\n", + "Start: 10.15056, end: 10.345977\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_4.wav\n", + "Start: 15.825806, end: 16.220556\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_5.wav\n", + "Start: 17.232891, end: 17.428308\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_6.wav\n", + "Start: 18.045874, end: 18.280395\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_7.wav\n", + "Start: 22.431291, end: 22.673625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_8.wav\n", + "Start: 24.147154, end: 24.92105\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_9.wav\n", + "Start: 25.859109, end: 26.249963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_10.wav\n", + "Start: 28.219886, end: 28.485657\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_11.wav\n", + "Start: 30.064731, end: 30.353961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_12.wav\n", + "Start: 34.497051, end: 34.84101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_13.wav\n", + "Start: 37.53792, end: 37.842795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_14.wav\n", + "Start: 45.175269, end: 46.246206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_15.wav\n", + "Start: 51.663497, end: 52.015268\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_16.wav\n", + "Start: 50.39712, end: 50.858328\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_17.wav\n", + "Start: 53.422354, end: 53.735042\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC428706_18.wav\n", + "Start: 3.702909, end: 4.414315\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC431217_1.wav\n", + "Start: 5.618207, end: 6.803876\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC431217_2.wav\n", + "Start: 8.317865, end: 8.965416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC431217_3.wav\n", + "Start: 10.716548, end: 11.728906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC431217_4.wav\n", + "Start: 16.216189, end: 17.000543\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC431217_5.wav\n", + "Start: 20.621375, end: 21.706703\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC431217_6.wav\n", + "Start: 0.367879, end: 0.943434\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469957_1.wav\n", + "Start: 6.574349, end: 7.227024\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469957_2.wav\n", + "Start: 11.10163, end: 11.689045\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469957_3.wav\n", + "Start: 15.818785, end: 16.465542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469957_4.wav\n", + "Start: 0.556442, end: 0.870954\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_1.wav\n", + "Start: 3.016076, end: 3.282198\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_2.wav\n", + "Start: 4.467663, end: 4.70959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_3.wav\n", + "Start: 7.330515, end: 7.628883\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_4.wav\n", + "Start: 9.104677, end: 9.378872\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_5.wav\n", + "Start: 14.144911, end: 14.435228\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_6.wav\n", + "Start: 18.338385, end: 18.693215\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_7.wav\n", + "Start: 20.410929, end: 21.015758\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_8.wav\n", + "Start: 25.201166, end: 25.709239\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_9.wav\n", + "Start: 30.531717, end: 31.096207\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_10.wav\n", + "Start: 33.297797, end: 33.894554\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_11.wav\n", + "Start: 36.942894, end: 37.539651\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_12.wav\n", + "Start: 47.765282, end: 48.321722\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC469959_13.wav\n", + "Start: 0.568723, end: 2.13607\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC471554_1.wav\n", + "Start: 0.976159, end: 1.411193\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC471558_1.wav\n", + "Start: 0.323455, end: 1.191267\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_1.wav\n", + "Start: 2.532415, end: 2.784873\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_2.wav\n", + "Start: 6.729439, end: 7.037126\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_3.wav\n", + "Start: 8.867397, end: 9.12773\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_4.wav\n", + "Start: 16.243745, end: 16.527745\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_5.wav\n", + "Start: 16.811763, end: 17.632222\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_6.wav\n", + "Start: 18.216031, end: 18.492156\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_7.wav\n", + "Start: 19.78597, end: 20.28297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_8.wav\n", + "Start: 22.27105, end: 22.594509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_9.wav\n", + "Start: 23.533313, end: 23.785771\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_10.wav\n", + "Start: 24.409008, end: 24.748258\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_11.wav\n", + "Start: 28.211575, end: 28.905804\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_12.wav\n", + "Start: 29.876184, end: 30.112851\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_13.wav\n", + "Start: 32.235038, end: 32.487496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_14.wav\n", + "Start: 42.380475, end: 42.6566\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_15.wav\n", + "Start: 46.056816, end: 46.325045\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_16.wav\n", + "Start: 46.877287, end: 48.368329\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_17.wav\n", + "Start: 51.034865, end: 51.358303\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC476854_18.wav\n", + "Start: 9.08488, end: 9.782998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC477444_1.wav\n", + "Start: 0.733653, end: 1.448347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC484717_1.wav\n", + "Start: 0.881162, end: 1.706378\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC519587_1.wav\n", + "Start: 6.294017, end: 7.161206\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC519587_2.wav\n", + "Start: 12.937703, end: 13.846841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC519587_3.wav\n", + "Start: 21.399659, end: 22.392721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC519587_4.wav\n", + "Start: 15.567203, end: 16.056727\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC519587_5.wav\n", + "Start: 1.866442, end: 2.752541\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_1.wav\n", + "Start: 8.219884, end: 9.143671\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_2.wav\n", + "Start: 12.216708, end: 14.893828\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_3.wav\n", + "Start: 23.132563, end: 24.075216\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_4.wav\n", + "Start: 29.976182, end: 30.975388\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_5.wav\n", + "Start: 35.594359, end: 36.574722\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_6.wav\n", + "Start: 45.982332, end: 46.906119\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_7.wav\n", + "Start: 55.521922, end: 56.389155\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_8.wav\n", + "Start: 62.836864, end: 63.704098\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Motacilla flava\\XC524524_9.wav\n", + "Porphyrio porphyrio\n", + "Start: 0.732981, end: 2.09205\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC267202_1.wav\n", + "Start: 5.013794, end: 5.24285\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC267202_2.wav\n", + "Start: 5.494163, end: 6.999413\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC292201_1.wav\n", + "Start: 25.81504, end: 35.486272\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC292201_2.wav\n", + "Start: 137.517061, end: 143.257853\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_1.wav\n", + "Start: 143.650759, end: 144.67668\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_2.wav\n", + "Start: 145.178726, end: 151.399736\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_3.wav\n", + "Start: 182.22102, end: 183.290597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_4.wav\n", + "Start: 252.049128, end: 252.922252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_5.wav\n", + "Start: 274.160998, end: 275.230575\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_6.wav\n", + "Start: 276.954996, end: 278.417479\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_7.wav\n", + "Start: 311.334261, end: 320.720346\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_8.wav\n", + "Start: 376.971373, end: 378.019122\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_9.wav\n", + "Start: 387.492519, end: 389.369736\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_10.wav\n", + "Start: 398.88679, end: 409.451593\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_11.wav\n", + "Start: 437.959098, end: 441.582563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_12.wav\n", + "Start: 503.836319, end: 507.066878\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_13.wav\n", + "Start: 524.311081, end: 524.834956\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_14.wav\n", + "Start: 538.673974, end: 539.328817\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_15.wav\n", + "Start: 552.818586, end: 553.517085\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC299330_16.wav\n", + "Start: 26.444994, end: 28.373634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC302642_1.wav\n", + "Start: 1.708378, end: 2.971093\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_1.wav\n", + "Start: 6.016463, end: 7.242038\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_2.wav\n", + "Start: 10.621656, end: 11.512984\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_3.wav\n", + "Start: 23.323078, end: 35.430281\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_4.wav\n", + "Start: 42.189517, end: 43.823617\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_5.wav\n", + "Start: 44.566391, end: 48.205979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_6.wav\n", + "Start: 49.245862, end: 52.142677\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_7.wav\n", + "Start: 54.111026, end: 63.395691\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC303341_8.wav\n", + "Start: 2.305239, end: 2.792997\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_1.wav\n", + "Start: 2.868484, end: 3.147203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_2.wav\n", + "Start: 3.362049, end: 3.814967\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_3.wav\n", + "Start: 3.96594, end: 4.285306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_4.wav\n", + "Start: 4.384019, end: 4.732417\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_5.wav\n", + "Start: 4.88339, end: 5.191143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_6.wav\n", + "Start: 5.318889, end: 5.632448\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_7.wav\n", + "Start: 5.742774, end: 6.050526\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_8.wav\n", + "Start: 6.166659, end: 6.462798\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_9.wav\n", + "Start: 6.607965, end: 6.89249\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_10.wav\n", + "Start: 7.026043, end: 7.333795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_11.wav\n", + "Start: 7.490575, end: 7.740261\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_12.wav\n", + "Start: 7.93188, end: 8.187373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_13.wav\n", + "Start: 8.361572, end: 8.628678\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_14.wav\n", + "Start: 8.762231, end: 9.087403\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_15.wav\n", + "Start: 9.273216, end: 9.551935\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336861_16.wav\n", + "Start: 0.71262, end: 5.007778\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336862_1.wav\n", + "Start: 1.209141, end: 4.397423\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336866_1.wav\n", + "Start: 9.655081, end: 9.925784\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC336866_2.wav\n", + "Start: 0.537376, end: 7.150685\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC337592_1.wav\n", + "Start: 7.988991, end: 10.324786\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC337592_2.wav\n", + "Start: 1.924523, end: 3.410547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC337594_1.wav\n", + "Start: 0.251268, end: 0.688961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357495_1.wav\n", + "Start: 2.739633, end: 3.34754\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357495_2.wav\n", + "Start: 0.0, end: 1.800583\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357910_1.wav\n", + "Start: 3.955685, end: 4.869971\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357910_2.wav\n", + "Start: 8.387172, end: 16.326531\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357910_3.wav\n", + "Start: 1.973379, end: 2.411908\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_1.wav\n", + "Start: 2.548208, end: 2.963032\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_2.wav\n", + "Start: 3.087479, end: 3.526008\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_3.wav\n", + "Start: 3.597121, end: 4.03565\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_4.wav\n", + "Start: 4.219358, end: 4.62233\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_5.wav\n", + "Start: 4.734925, end: 5.232715\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_6.wav\n", + "Start: 5.31568, end: 5.789765\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_7.wav\n", + "Start: 5.949768, end: 6.382371\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_8.wav\n", + "Start: 6.506818, end: 6.915717\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_9.wav\n", + "Start: 7.063868, end: 7.466841\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_10.wav\n", + "Start: 7.632771, end: 8.580941\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_11.wav\n", + "Start: 8.758723, end: 9.161695\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_12.wav\n", + "Start: 9.357255, end: 9.920231\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357911_13.wav\n", + "Start: 0.062903, end: 0.629029\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357912_1.wav\n", + "Start: 2.74526, end: 3.050789\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357912_2.wav\n", + "Start: 4.129123, end: 4.794096\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357912_3.wav\n", + "Start: 5.059187, end: 6.371161\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357912_4.wav\n", + "Start: 7.296731, end: 7.82242\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357912_5.wav\n", + "Start: 2.382367, end: 7.560046\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357913_1.wav\n", + "Start: 8.377992, end: 9.640647\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357913_2.wav\n", + "Start: 12.150073, end: 12.936255\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357913_3.wav\n", + "Start: 0.264747, end: 1.500235\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_1.wav\n", + "Start: 6.089188, end: 8.33954\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_2.wav\n", + "Start: 11.340009, end: 12.774057\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_3.wav\n", + "Start: 13.016742, end: 17.716006\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_4.wav\n", + "Start: 19.359645, end: 19.900171\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_5.wav\n", + "Start: 20.545493, end: 27.759856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_6.wav\n", + "Start: 28.471365, end: 32.729384\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_7.wav\n", + "Start: 33.876622, end: 37.428648\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC357914_8.wav\n", + "Start: 1.963811, end: 2.200555\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358495_1.wav\n", + "Start: 0.893477, end: 1.451901\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_1.wav\n", + "Start: 5.640076, end: 5.97513\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_2.wav\n", + "Start: 11.894417, end: 12.285313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_3.wav\n", + "Start: 14.76099, end: 15.338027\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_4.wav\n", + "Start: 16.008135, end: 16.808542\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_5.wav\n", + "Start: 19.544816, end: 20.010169\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_6.wav\n", + "Start: 23.193182, end: 23.751605\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_7.wav\n", + "Start: 24.849838, end: 25.333805\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_8.wav\n", + "Start: 28.498204, end: 28.907714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358561_9.wav\n", + "Start: 0.036183, end: 2.578062\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC358639_1.wav\n", + "Start: 1.335977, end: 1.750129\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC367080_1.wav\n", + "Start: 2.826927, end: 3.620497\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC367080_2.wav\n", + "Start: 0.942737, end: 1.59959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC367081_1.wav\n", + "Start: 3.768603, end: 7.002021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC380967_1.wav\n", + "Start: 0.9462, end: 1.730351\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC381727_1.wav\n", + "Start: 2.50272, end: 3.430491\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC381860_1.wav\n", + "Start: 3.525531, end: 4.2768\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC381860_2.wav\n", + "Start: 4.30848, end: 5.25888\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC381860_3.wav\n", + "Start: 1.42545, end: 4.024484\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC381861_1.wav\n", + "Start: 0.246835, end: 2.631352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC381862_1.wav\n", + "Start: 2.18018, end: 8.553012\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC386307_1.wav\n", + "Start: 15.884166, end: 21.059097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC386307_2.wav\n", + "Start: 0.673064, end: 3.253141\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC399454_1.wav\n", + "Start: 4.344999, end: 8.368424\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC399454_2.wav\n", + "Start: 8.592778, end: 11.262597\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC399454_3.wav\n", + "Start: 2.059494, end: 10.591683\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC399455_1.wav\n", + "Start: 0.582814, end: 1.259341\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC410111_1.wav\n", + "Start: 0.211293, end: 1.003087\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC410121_1.wav\n", + "Start: 0.039766, end: 8.191761\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC410140_1.wav\n", + "Start: 0.274868, end: 2.460511\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC412265_1.wav\n", + "Start: 5.009689, end: 5.226923\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC412265_2.wav\n", + "Start: 5.665825, end: 5.97616\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC412265_3.wav\n", + "Start: 6.211127, end: 6.432795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC412265_4.wav\n", + "Start: 6.618996, end: 7.075631\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC412265_5.wav\n", + "Start: 4.22703, end: 5.327869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429604_1.wav\n", + "Start: 7.182211, end: 7.882279\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429604_2.wav\n", + "Start: 1.98238, end: 3.587165\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429605_1.wav\n", + "Start: 0.810318, end: 1.895647\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429606_1.wav\n", + "Start: 3.653799, end: 4.169445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429606_2.wav\n", + "Start: 6.536568, end: 6.875412\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429606_3.wav\n", + "Start: 26.07928, end: 28.617456\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429607_1.wav\n", + "Start: 1.547718, end: 2.23638\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429608_1.wav\n", + "Start: 2.723288, end: 2.991088\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429608_2.wav\n", + "Start: 3.516276, end: 3.846684\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429608_3.wav\n", + "Start: 4.309264, end: 4.660534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC429608_4.wav\n", + "Start: 0.180096, end: 2.483429\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC440102_1.wav\n", + "Start: 4.957369, end: 5.364943\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC440102_2.wav\n", + "Start: 7.308091, end: 7.810449\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC440102_3.wav\n", + "Start: 9.033217, end: 9.431313\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC440102_4.wav\n", + "Start: 11.15645, end: 11.620917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC440102_5.wav\n", + "Start: 5.293752, end: 7.520282\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC441909_1.wav\n", + "Start: 4.513332, end: 7.695101\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC461762_1.wav\n", + "Start: 7.975423, end: 14.268869\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC461762_2.wav\n", + "Start: 17.47865, end: 23.379625\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC461762_3.wav\n", + "Start: 3.166231, end: 8.391793\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_1.wav\n", + "Start: 10.373911, end: 12.613432\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_2.wav\n", + "Start: 12.922341, end: 13.411445\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_3.wav\n", + "Start: 14.41536, end: 14.878714\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_4.wav\n", + "Start: 33.052361, end: 35.188924\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_5.wav\n", + "Start: 35.755241, end: 36.450262\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_6.wav\n", + "Start: 40.440233, end: 41.058046\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470470_7.wav\n", + "Start: 0.332942, end: 6.386442\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470740_1.wav\n", + "Start: 20.672654, end: 21.671487\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470740_2.wav\n", + "Start: 42.979749, end: 44.432582\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC470740_3.wav\n", + "Start: 0.858488, end: 3.033023\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC497345_1.wav\n", + "Start: 4.622629, end: 4.905644\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC497345_2.wav\n", + "Start: 6.551868, end: 6.910372\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC497345_3.wav\n", + "Start: 7.240546, end: 7.561294\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC497345_4.wav\n", + "Start: 4.625599, end: 10.711132\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC499150_1.wav\n", + "Start: 0.333322, end: 7.199762\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_1.wav\n", + "Start: 7.666416, end: 10.93297\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_2.wav\n", + "Start: 11.266299, end: 12.199587\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_3.wav\n", + "Start: 13.132904, end: 13.999548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_4.wav\n", + "Start: 15.132839, end: 18.599392\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_5.wav\n", + "Start: 19.066044, end: 19.666021\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_6.wav\n", + "Start: 20.266005, end: 21.199293\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_7.wav\n", + "Start: 21.732624, end: 22.399268\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_8.wav\n", + "Start: 24.465868, end: 27.799088\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_9.wav\n", + "Start: 28.932389, end: 29.999033\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_10.wav\n", + "Start: 31.33231, end: 32.065621\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_11.wav\n", + "Start: 35.598838, end: 36.398815\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_12.wav\n", + "Start: 43.198589, end: 44.198544\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_13.wav\n", + "Start: 44.798537, end: 45.398537\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_14.wav\n", + "Start: 54.398224, end: 55.131534\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_15.wav\n", + "Start: 56.264829, end: 57.064807\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_16.wav\n", + "Start: 90.730371, end: 93.196969\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_17.wav\n", + "Start: 101.530018, end: 102.463306\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_18.wav\n", + "Start: 98.396787, end: 99.063431\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC505960_19.wav\n", + "Start: 1.273581, end: 1.537731\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518345_1.wav\n", + "Start: 8.405637, end: 13.282961\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518345_2.wav\n", + "Start: 14.603733, end: 14.943347\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518345_3.wav\n", + "Start: 1.620144, end: 2.254112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518346_1.wav\n", + "Start: 4.910423, end: 11.439743\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518347_1.wav\n", + "Start: 1.135073, end: 7.668406\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518348_1.wav\n", + "Start: 1.617771, end: 2.374664\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC518349_1.wav\n", + "Start: 12.31457, end: 13.421373\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC521464_1.wav\n", + "Start: 9.392976, end: 9.592409\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC521464_2.wav\n", + "Start: 10.539677, end: 10.828838\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC521464_3.wav\n", + "Start: 5.075163, end: 10.012143\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC521814_1.wav\n", + "Start: 10.904064, end: 18.881127\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Porphyrio porphyrio\\XC521814_2.wav\n", + "Tachybaptus ruficollis\n", + "Start: 3.449641, end: 9.492301\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC134240_1.wav\n", + "Start: 17.294509, end: 20.535783\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC134240_2.wav\n", + "Start: 24.448463, end: 32.621102\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC134240_3.wav\n", + "Start: 25.049473, end: 27.662867\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC153870_1.wav\n", + "Start: 3.844329, end: 5.742162\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC161931_1.wav\n", + "Start: 13.455151, end: 15.66929\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC161931_2.wav\n", + "Start: 28.029537, end: 31.022274\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC161931_3.wav\n", + "Start: 1.225553, end: 4.274491\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC183432_1.wav\n", + "Start: 1.199423, end: 4.842833\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC183433_1.wav\n", + "Start: 1.405836, end: 5.685364\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC183440_1.wav\n", + "Start: 0.751296, end: 3.788928\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC215129_1.wav\n", + "Start: 0.429202, end: 1.037458\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC225374_1.wav\n", + "Start: 2.456722, end: 4.592201\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC225374_2.wav\n", + "Start: 13.106245, end: 15.78596\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC232846_1.wav\n", + "Start: 37.84489, end: 40.524606\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC232846_2.wav\n", + "Start: 0.959519, end: 3.50386\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_1.wav\n", + "Start: 7.902552, end: 11.686721\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_2.wav\n", + "Start: 23.804686, end: 25.335603\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_3.wav\n", + "Start: 35.685467, end: 39.652915\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_4.wav\n", + "Start: 52.956802, end: 57.743614\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_5.wav\n", + "Start: 61.279817, end: 66.713496\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_6.wav\n", + "Start: 68.244413, end: 71.608118\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26929_7.wav\n", + "Start: 0.652912, end: 4.316473\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26930_1.wav\n", + "Start: 12.635055, end: 14.84619\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26930_2.wav\n", + "Start: 35.003335, end: 36.635615\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26930_3.wav\n", + "Start: 38.485532, end: 39.694629\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC26930_4.wav\n", + "Start: 16.182544, end: 18.879634\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280719_1.wav\n", + "Start: 22.632729, end: 24.345167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280719_2.wav\n", + "Start: 0.248387, end: 4.088835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280980_1.wav\n", + "Start: 0.129358, end: 1.903416\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280981_1.wav\n", + "Start: 8.981167, end: 11.309617\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280981_2.wav\n", + "Start: 13.748946, end: 17.832975\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280981_3.wav\n", + "Start: 26.001032, end: 29.382829\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280981_4.wav\n", + "Start: 7.633024, end: 10.479237\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280982_1.wav\n", + "Start: 19.837238, end: 22.137208\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280982_2.wav\n", + "Start: 1.921336, end: 4.886547\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280983_1.wav\n", + "Start: 10.953128, end: 13.782182\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280983_2.wav\n", + "Start: 30.332903, end: 33.494786\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280983_3.wav\n", + "Start: 1.830602, end: 4.363643\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280984_1.wav\n", + "Start: 5.938812, end: 9.876734\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280984_2.wav\n", + "Start: 18.763666, end: 23.244382\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280984_3.wav\n", + "Start: 26.181859, end: 29.949492\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280984_4.wav\n", + "Start: 34.174776, end: 36.111808\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC280984_5.wav\n", + "Start: 2.368216, end: 5.022854\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC301648_1.wav\n", + "Start: 2.321644, end: 10.596221\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_1.wav\n", + "Start: 11.280808, end: 13.312246\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_2.wav\n", + "Start: 14.815362, end: 16.7203\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_3.wav\n", + "Start: 21.438, end: 23.729879\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_4.wav\n", + "Start: 25.962229, end: 28.641049\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_5.wav\n", + "Start: 32.949484, end: 34.884187\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_6.wav\n", + "Start: 38.262477, end: 40.539473\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_7.wav\n", + "Start: 45.673878, end: 48.412227\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC317692_8.wav\n", + "Start: 1.526674, end: 7.321097\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC356385_1.wav\n", + "Start: 18.111909, end: 20.748891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC356385_2.wav\n", + "Start: 33.343954, end: 35.668663\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC356385_3.wav\n", + "Start: 52.809051, end: 57.180891\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC356385_4.wav\n", + "Start: 1.222322, end: 7.595856\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_1.wav\n", + "Start: 8.709042, end: 11.459265\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_2.wav\n", + "Start: 24.708359, end: 27.589545\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_3.wav\n", + "Start: 40.227478, end: 42.781257\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_4.wav\n", + "Start: 46.579185, end: 50.726348\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_5.wav\n", + "Start: 56.226795, end: 59.260772\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_6.wav\n", + "Start: 83.859995, end: 95.297433\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_7.wav\n", + "Start: 100.666917, end: 104.246574\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_8.wav\n", + "Start: 128.43108, end: 133.233058\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_9.wav\n", + "Start: 139.344666, end: 144.059335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357687_10.wav\n", + "Start: 4.121287, end: 6.683167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357688_1.wav\n", + "Start: 17.431928, end: 23.056927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357688_2.wav\n", + "Start: 32.357669, end: 38.261133\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357688_3.wav\n", + "Start: 47.84034, end: 51.070537\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357688_4.wav\n", + "Start: 70.841574, end: 76.577959\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357688_5.wav\n", + "Start: 86.101473, end: 88.329195\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357688_6.wav\n", + "Start: 0.838456, end: 4.396781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357885_1.wav\n", + "Start: 8.773113, end: 11.370281\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357885_2.wav\n", + "Start: 21.758955, end: 24.949178\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357885_3.wav\n", + "Start: 26.298887, end: 28.405252\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC357885_4.wav\n", + "Start: 5.324352, end: 11.412196\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC367685_1.wav\n", + "Start: 13.320926, end: 15.852505\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC367685_2.wav\n", + "Start: 0.073889, end: 2.011264\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC373560_1.wav\n", + "Start: 0.531943, end: 3.435087\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC377189_1.wav\n", + "Start: 1.81045, end: 5.431351\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC388290_1.wav\n", + "Start: 0.592457, end: 6.339291\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC388291_1.wav\n", + "Start: 12.900754, end: 15.433509\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC388291_2.wav\n", + "Start: 16.366629, end: 24.764709\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC388291_3.wav\n", + "Start: 1.244818, end: 4.457253\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC40189_1.wav\n", + "Start: 0.791726, end: 6.712457\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC407138_1.wav\n", + "Start: 23.631291, end: 28.691451\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC407138_2.wav\n", + "Start: 1.527552, end: 6.668352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC407139_1.wav\n", + "Start: 23.457138, end: 25.3204\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC412840_1.wav\n", + "Start: 47.679545, end: 50.274803\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC412840_2.wav\n", + "Start: 3.374005, end: 9.135394\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC412845_1.wav\n", + "Start: 3.618651, end: 5.240174\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC419196_1.wav\n", + "Start: 1.708622, end: 6.547104\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC422341_1.wav\n", + "Start: 16.865489, end: 20.147304\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC42554_1.wav\n", + "Start: 29.471138, end: 32.492147\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC42554_2.wav\n", + "Start: 4.50563, end: 9.389781\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC459391_1.wav\n", + "Start: 23.215603, end: 28.170927\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC459392_1.wav\n", + "Start: 1.848708, end: 5.798825\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC459393_1.wav\n", + "Start: 1.556898, end: 5.284557\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC459394_1.wav\n", + "Start: 0.580904, end: 4.133676\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC462742_1.wav\n", + "Start: 5.421767, end: 8.35996\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC462742_2.wav\n", + "Start: 10.010063, end: 11.752773\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC462742_3.wav\n", + "Start: 1.037002, end: 7.002548\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471731_1.wav\n", + "Start: 16.001045, end: 18.833286\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471731_2.wav\n", + "Start: 0.755775, end: 4.174755\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_1.wav\n", + "Start: 34.801625, end: 37.104939\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_2.wav\n", + "Start: 58.356603, end: 61.51916\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_3.wav\n", + "Start: 118.836573, end: 122.345527\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_4.wav\n", + "Start: 127.932862, end: 129.075521\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_5.wav\n", + "Start: 132.575478, end: 141.122929\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_6.wav\n", + "Start: 145.765545, end: 147.99688\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_7.wav\n", + "Start: 150.876022, end: 153.179335\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_8.wav\n", + "Start: 156.78726, end: 159.405479\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_9.wav\n", + "Start: 181.457905, end: 187.432124\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_10.wav\n", + "Start: 190.644167, end: 194.180112\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_11.wav\n", + "Start: 197.248198, end: 199.794439\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_12.wav\n", + "Start: 230.916161, end: 233.975249\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471768_13.wav\n", + "Start: 2.46812, end: 5.43557\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471769_1.wav\n", + "Start: 7.161828, end: 10.015145\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471769_2.wav\n", + "Start: 17.005774, end: 26.093591\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471769_3.wav\n", + "Start: 29.888504, end: 33.155553\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471769_4.wav\n", + "Start: 40.759645, end: 43.484563\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC471769_5.wav\n", + "Start: 0.0, end: 4.960116\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC479924_1.wav\n", + "Start: 9.120213, end: 12.853633\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC479924_2.wav\n", + "Start: 20.480478, end: 25.013917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC479924_3.wav\n", + "Start: 38.134223, end: 41.280963\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC479924_4.wav\n", + "Start: 4.97, end: 9.67\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC485381_1.wav\n", + "Start: 15.63, end: 18.92\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC485381_2.wav\n", + "Start: 1.148977, end: 2.384998\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC497799_1.wav\n", + "Start: 4.41892, end: 6.040835\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC497799_2.wav\n", + "Start: 11.394024, end: 13.239352\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC497799_3.wav\n", + "Start: 31.591072, end: 34.283624\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC497799_4.wav\n", + "Start: 35.595083, end: 38.426906\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC497799_5.wav\n", + "Start: 13.676544, end: 18.5472\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC502956_1.wav\n", + "Start: 2.359439, end: 6.070917\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC509421_1.wav\n", + "Start: 7.131339, end: 9.000333\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC509421_2.wav\n", + "Start: 0.628155, end: 4.566651\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC510716_1.wav\n", + "Start: 0.611877, end: 4.000375\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC510720_1.wav\n", + "Start: 0.667488, end: 2.459167\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC516379_1.wav\n", + "Start: 35.95654, end: 37.191979\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC516379_2.wav\n", + "Start: 2.438208, end: 6.689705\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518432_1.wav\n", + "Start: 8.656663, end: 12.180795\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518432_2.wav\n", + "Start: 2.93, end: 5.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518527_1.wav\n", + "Start: 11.11558, end: 13.34\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518527_2.wav\n", + "Start: 16.382313, end: 20.78\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518527_3.wav\n", + "Start: 23.270646, end: 34.43\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518527_4.wav\n", + "Start: 42.28, end: 45.7\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC518527_5.wav\n", + "Start: 1.204558, end: 4.086894\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC520116_1.wav\n", + "Start: 26.242164, end: 30.307549\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC520116_2.wav\n", + "Start: 40.288175, end: 44.54715\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC520116_3.wav\n", + "Start: 1.337156, end: 3.83185\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC97974_1.wav\n", + "Start: 6.556056, end: 11.076441\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC97974_2.wav\n", + "Start: 14.678779, end: 17.492793\n", + "Trimmed audio saved: C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\\Tachybaptus ruficollis\\XC97974_3.wav\n" + ] + } + ], + "source": [ + "input_folder = r'C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_files'\n", + "output_folder = r'C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip'\n", + "\n", + "\n", + "def trim_and_save_audio(input_folder, output_folder):\n", + " for bird_folder in os.listdir(input_folder):\n", + " bird_folder_path = os.path.join(input_folder, bird_folder)\n", + " print(bird_folder)\n", + " if os.path.isdir(bird_folder_path):\n", + " output_bird_folder_path = os.path.join(output_folder, bird_folder)\n", + " os.makedirs(output_bird_folder_path, exist_ok=True)\n", + "\n", + " for audio_file in os.listdir(bird_folder_path):\n", + " if audio_file.endswith(\".mp3\"):\n", + " audio_path = os.path.join(bird_folder_path, audio_file)\n", + " text_file_path = os.path.join(bird_folder_path, audio_file.replace(\".mp3\", \".txt\"))\n", + "\n", + " if os.path.exists(text_file_path):\n", + " with open(text_file_path, 'r') as text_file:\n", + " lines = text_file.readlines()\n", + "\n", + " for i, line in enumerate(lines, start=1):\n", + " start_time, end_time, _ = line.strip().split('\\t')\n", + " start_time, end_time = float(start_time), float(end_time)\n", + " print(f\"Start: {start_time}, end: {end_time}\")\n", + "\n", + " # Load audio with librosa\n", + " y, sr = librosa.load(audio_path, sr=None)\n", + "\n", + " # Trim audio\n", + " start_frame = int(start_time * sr)\n", + " end_frame = int(end_time * sr)\n", + " trimmed_audio = y[start_frame:end_frame]\n", + "\n", + " # Save trimmed audio\n", + " output_audio_name = f\"{os.path.splitext(audio_file)[0]}_{i}.wav\"\n", + " output_audio_path = os.path.join(output_bird_folder_path, output_audio_name)\n", + " sf.write(output_audio_path, trimmed_audio, sr)\n", + "\n", + " print(f\"Trimmed audio saved: {output_audio_path}\")\n", + "\n", + "trim_and_save_audio(input_folder, output_folder)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [], + "source": [ + "def extract_audio_features(audio_path):\n", + " y, sr = librosa.load(audio_path, sr=None)\n", + "\n", + " if not y.size: # Check if the audio is empty\n", + " return None\n", + "\n", + " mfccs = librosa.feature.mfcc(y=y, sr=sr, n_mfcc=13)\n", + " spectral_centroid = librosa.feature.spectral_centroid(y=y, sr=sr)[0]\n", + " spectral_bandwidth = librosa.feature.spectral_bandwidth(y=y, sr=sr)[0]\n", + " spectral_rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)[0]\n", + " spectral_contrast = librosa.feature.spectral_contrast(y=y, sr=sr)\n", + " zero_crossing_rate = librosa.feature.zero_crossing_rate(y)[0]\n", + " chroma = librosa.feature.chroma_stft(y=y, sr=sr)\n", + "\n", + " # Check if any feature has zero size\n", + " if any(len(feature) == 0 for feature in [mfccs, spectral_centroid, spectral_bandwidth,\n", + " spectral_rolloff, spectral_contrast,\n", + " zero_crossing_rate, chroma]):\n", + " return None\n", + "\n", + " return {\n", + " 'mfccs': np.mean(mfccs, axis=1),\n", + " 'spectral_centroid': np.mean(spectral_centroid),\n", + " 'spectral_bandwidth': np.mean(spectral_bandwidth),\n", + " 'spectral_rolloff': np.mean(spectral_rolloff),\n", + " 'spectral_contrast': np.mean(spectral_contrast, axis=1),\n", + " 'zero_crossing_rate': np.mean(zero_crossing_rate),\n", + " 'chroma': np.mean(chroma, axis=1)\n", + " }\n", + "\n", + "\n", + "def extract_features_for_folder(folder_path, label):\n", + " features_list = []\n", + "\n", + " for audio_file in os.listdir(folder_path):\n", + " if audio_file.endswith(\".wav\"):\n", + " audio_path = os.path.join(folder_path, audio_file)\n", + " features = extract_audio_features(audio_path)\n", + " if features:\n", + " features['label'] = label\n", + " features_list.append(features)\n", + "\n", + " return features_list\n", + "\n", + "\n", + "def prepare_dataset(input_folder):\n", + " dataset = []\n", + "\n", + " for bird_folder in os.listdir(input_folder):\n", + " bird_folder_path = os.path.join(input_folder, bird_folder)\n", + " if os.path.isdir(bird_folder_path):\n", + " label = bird_folder\n", + " features_list = extract_features_for_folder(bird_folder_path, label)\n", + " dataset.extend(features_list)\n", + "\n", + " df_feat = pd.DataFrame(dataset)\n", + "\n", + " # Save DataFrame to CSV\n", + " df_feat.to_csv(r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\birds_song_features.csv\", index=False)\n", + " #df_feat.to_csv(r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\birds_song_features2.csv\", index=False, float_format='%.8f')\n", + "\n", + " return df_feat" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mfccs spectral_centroid \\\n", + "0 [-397.45663, 81.44629, -87.61533, 18.843601, 3... 3993.097212 \n", + "1 [-440.85333, 106.29697, -100.33374, 28.253965,... 3527.508468 \n", + "2 [-405.6472, 81.212524, -92.16724, 32.62819, -1... 4276.449712 \n", + "3 [-398.41983, 78.857445, -88.8084, 27.449888, -... 4341.166500 \n", + "4 [-429.4973, 103.159805, -92.66414, 35.99449, 1... 3570.379271 \n", + ".. ... ... \n", + "339 [-418.7477, 119.25932, -117.862495, 21.651579,... 3201.957468 \n", + "340 [-395.43253, 94.17756, -113.84688, 23.781569, ... 3736.411376 \n", + "341 [-389.3017, 93.0521, -135.4447, 19.913263, 45.... 3515.108249 \n", + "342 [-401.40805, 98.75698, -126.44469, 14.270811, ... 3416.686163 \n", + "343 [-415.86652, 112.95089, -128.24995, 17.915232,... 3324.252272 \n", + "\n", + " spectral_bandwidth spectral_rolloff \\\n", + "0 2909.295913 6522.758152 \n", + "1 2593.527919 5247.656250 \n", + "2 2997.225746 6938.593750 \n", + "3 3064.650090 7019.333965 \n", + "4 2446.957331 5002.055921 \n", + ".. ... ... \n", + "339 1969.822969 4496.369735 \n", + "340 2197.192354 5501.890791 \n", + "341 1504.638614 4556.601742 \n", + "342 1652.418694 4599.417590 \n", + "343 1713.779801 4550.547235 \n", + "\n", + " spectral_contrast zero_crossing_rate \\\n", + "0 [9.418126747708163, 7.762494663371873, 9.82625... 0.135045 \n", + "1 [9.256360543291931, 7.596545342744095, 9.71841... 0.120052 \n", + "2 [9.606481352464858, 7.642534691316108, 9.53710... 0.144167 \n", + "3 [10.134790392515102, 8.208716504610361, 9.2386... 0.150384 \n", + "4 [10.537970460506465, 8.350464022377697, 9.7531... 0.124332 \n", + ".. ... ... \n", + "339 [9.9582493457452, 9.23671021801801, 10.1539664... 0.118540 \n", + "340 [11.39076434283499, 9.250218853636808, 10.0634... 0.141738 \n", + "341 [12.090208885033292, 8.293528795478279, 9.8317... 0.146333 \n", + "342 [12.025951149768904, 8.298918663225423, 9.9291... 0.140698 \n", + "343 [11.169282379709555, 8.41189703958717, 9.93357... 0.136054 \n", + "\n", + " chroma \\\n", + "0 [0.2728364, 0.33410424, 0.4328975, 0.42300472,... \n", + "1 [0.37357548, 0.3992805, 0.3484869, 0.3371598, ... \n", + "2 [0.23373464, 0.3298266, 0.27740237, 0.24314176... \n", + "3 [0.33858532, 0.40484202, 0.49451977, 0.5234937... \n", + "4 [0.56617683, 0.41475436, 0.45299336, 0.5662685... \n", + ".. ... \n", + "339 [0.3135115, 0.34471437, 0.2915694, 0.29822809,... \n", + "340 [0.36268514, 0.33694315, 0.2905904, 0.3081417,... \n", + "341 [0.2996157, 0.24455664, 0.24201098, 0.2255346,... \n", + "342 [0.34820732, 0.29118118, 0.26549137, 0.2676423... \n", + "343 [0.39478818, 0.30870757, 0.27678904, 0.2880914... \n", + "\n", + " label \n", + "0 Acrocephalus arundinaceus \n", + "1 Acrocephalus arundinaceus \n", + "2 Acrocephalus arundinaceus \n", + "3 Acrocephalus arundinaceus \n", + "4 Acrocephalus arundinaceus \n", + ".. ... \n", + "339 Acrocephalus scirpaceus \n", + "340 Acrocephalus scirpaceus \n", + "341 Acrocephalus scirpaceus \n", + "342 Acrocephalus scirpaceus \n", + "343 Acrocephalus scirpaceus \n", + "\n", + "[344 rows x 8 columns]\n" + ] + } + ], + "source": [ + "if __name__ == \"__main__\":\n", + " input_folder = r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip\"\n", + "\n", + " # Prepare the dataset\n", + " dataset = prepare_dataset(input_folder)\n", + " print(dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dandr\\anaconda3\\envs\\mining\\lib\\site-packages\\librosa\\core\\pitch.py:104: UserWarning: Trying to estimate tuning from empty frequency set.\n", + " bins_per_octave=bins_per_octave,\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " mfccs spectral_centroid \\\n", + "0 [-144.01588, 131.91563, -114.978226, -24.67387... 2892.970542 \n", + "1 [-145.36244, 136.58644, -111.282074, -13.82940... 3196.365915 \n", + "2 [-294.68402, 123.38041, -98.854675, 68.9578, -... 3732.432893 \n", + "3 [-268.4957, 136.41379, -118.67018, 28.211489, ... 3134.916171 \n", + "4 [-289.01138, 139.7056, -97.71578, 27.623909, -... 3543.816580 \n", + ".. ... ... \n", + "574 [-271.59976, -11.773421, -66.410324, -48.86634... 8554.680112 \n", + "575 [-272.32803, -7.1234593, -62.074947, -55.64829... 8513.200652 \n", + "576 [-293.2679, -9.276755, -59.753338, -53.343166,... 9808.917465 \n", + "577 [-413.33792, 129.1721, -51.125813, 27.783161, ... 3679.000337 \n", + "578 [-280.68478, 98.23872, 2.0270221, -23.479555, ... 5898.196530 \n", + "\n", + " spectral_bandwidth spectral_rolloff zero_crossing_rate \\\n", + "0 2590.812038 4652.678571 0.080831 \n", + "1 2940.635174 4992.955943 0.092813 \n", + "2 2756.284229 6345.117188 0.134657 \n", + "3 2196.432148 4780.371094 0.117920 \n", + "4 2589.975548 5918.939209 0.156067 \n", + ".. ... ... ... \n", + "574 5951.053084 15647.010216 0.298556 \n", + "575 5772.944278 14744.077621 0.308105 \n", + "576 6279.772516 17610.552226 0.356385 \n", + "577 3724.897170 7284.926471 0.093491 \n", + "578 6582.058981 15562.708459 0.134090 \n", + "\n", + " chroma label \n", + "0 [0.12227445, 0.14171137, 0.13761121, 0.2244971... Ardea purpurea \n", + "1 [0.34966394, 0.47158927, 0.6269138, 0.72722507... Ardea purpurea \n", + "2 [0.33877608, 0.36622307, 0.5560737, 0.7124643,... Ardea purpurea \n", + "3 [0.3277224, 0.24758974, 0.54363364, 0.8216762,... Ardea purpurea \n", + "4 [0.6665624, 0.26899984, 0.17087813, 0.21563038... Ardea purpurea \n", + ".. ... ... \n", + "574 [0.23597941, 0.2364742, 0.25162032, 0.25751385... Fulica atra \n", + "575 [0.3297484, 0.32101515, 0.29154333, 0.38305193... Fulica atra \n", + "576 [0.36231157, 0.4196984, 0.41722524, 0.49979898... Fulica atra \n", + "577 [0.6862412, 0.2598122, 0.24248213, 0.22128452,... Fulica atra \n", + "578 [0.5316796, 0.22511438, 0.20606862, 0.20390211... Fulica atra \n", + "\n", + "[579 rows x 7 columns]\n" + ] + } + ], + "source": [ + "if __name__ == \"__main__\":\n", + " input_folder = r\"C:\\Users\\dandr\\Documents\\DataMining\\FinalProject\\audio_clip2\"\n", + "\n", + " # Prepare the dataset\n", + " dataset = prepare_dataset(input_folder)\n", + " print(dataset)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def train_and_evaluate_model(dataset):\n", + " X = dataset.drop(columns=['label'])\n", + " y = dataset['label']\n", + "\n", + " # Encode labels to numerical values\n", + " label_encoder = LabelEncoder()\n", + " y_encoded = label_encoder.fit_transform(y)\n", + "\n", + " # Split the dataset into training and testing sets\n", + " X_train, X_test, y_train, y_test = train_test_split(X, y_encoded, test_size=0.2, random_state=42)\n", + "\n", + " # Train a Random Forest Classifier\n", + " model = RandomForestClassifier(n_estimators=100, random_state=42)\n", + " model.fit(X_train, y_train)\n", + "\n", + " # Evaluate the model\n", + " y_pred = model.predict(X_test)\n", + " accuracy = accuracy_score(y_test, y_pred)\n", + " print(f\"Accuracy: {accuracy}\")\n", + "\n", + " # Cross-validation (optional)\n", + " cv_scores = cross_val_score(model, X, y_encoded, cv=5)\n", + " print(f\"Cross-validation scores: {cv_scores}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "mining", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.16" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}