From 19c7900e098c5bc0c3b634f88e6a60889568ca59 Mon Sep 17 00:00:00 2001 From: Edresson Casanova Date: Fri, 5 Nov 2021 15:40:56 -0300 Subject: [PATCH] Add MOS CSVs --- metrics/MOS/EN-PT/Sim-MOS.csv | 2999 ++++ metrics/MOS/EN/Sim-MOS.csv | 14133 +++++++++++++++++ metrics/MOS/EN/naturalness-MOS.csv | 22381 +++++++++++++++++++++++++++ metrics/MOS/PT/Sim-MOS.csv | 7062 +++++++++ metrics/MOS/PT/naturalness-MOS.csv | 6605 ++++++++ metrics/MOS/compute_MOS.py | 98 + 6 files changed, 53278 insertions(+) create mode 100644 metrics/MOS/EN-PT/Sim-MOS.csv create mode 100644 metrics/MOS/EN/Sim-MOS.csv create mode 100644 metrics/MOS/EN/naturalness-MOS.csv create mode 100644 metrics/MOS/PT/Sim-MOS.csv create mode 100644 metrics/MOS/PT/naturalness-MOS.csv create mode 100644 metrics/MOS/compute_MOS.py diff --git a/metrics/MOS/EN-PT/Sim-MOS.csv b/metrics/MOS/EN-PT/Sim-MOS.csv new file mode 100644 index 00000000..51caa213 --- /dev/null +++ b/metrics/MOS/EN-PT/Sim-MOS.csv @@ -0,0 +1,2999 @@ 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a/metrics/MOS/compute_MOS.py b/metrics/MOS/compute_MOS.py new file mode 100644 index 00000000..ec967595 --- /dev/null +++ b/metrics/MOS/compute_MOS.py @@ -0,0 +1,98 @@ +import os +import json +import numpy as np +import pandas as pd +import scipy.stats as st +from tqdm import tqdm +import random +import argparse + + +def compute_MOS(csv_file="Sim-MOS.csv", confience_interval=0.95): + # load the CSV + df = pd.read_csv(csv_file, sep=',') + + # compute the mean and the confidence intervals using scipy + def compute_confidence_intervals(mos_exps, exp): + for key in sorted(mos_exps.keys()): + values = mos_exps[key] + mos = np.array(values).mean() + low_b, high_b = st.t.interval(confience_interval, len(values)-1, loc=mos, scale=st.sem(values)) + confience_interval_more_less = mos-low_b + # print the result with 2 decimal cases + print(key, "MOS:", float(format(mos, '.2f')), "$\pm$",float(format(confience_interval_more_less, '.2f'))) + + + # group the scores by experiment + mos_exps = {} + for index, line in df.iterrows(): + + line["audio_path"] = line["audio_path"].replace("/model", "_model") + audio_path = line["audio_path"] + score = line["score"] + + exp_name = audio_path.split("/")[0] + + data = [audio_path, score] + + if exp_name not in mos_exps.keys(): + mos_exps[exp_name] = [data] + else: + mos_exps[exp_name].append(data) + + # for in all experiments + for exp in sorted(mos_exps.keys()): + mos_dict = {} + # for in all scores to adjust the exp path + for item in mos_exps[exp]: + key_name_all_exp_VC = None + path_name = item[0] + score = item[1] + splits = path_name.split("/") + + # default exp+dataset + key_name = splits[0]+"_"+splits[1] + + # GT speaker adaptation by speaker name + if "GT" in exp and "Speaker_Adaptation" in path_name: + key_name = splits[0]+"_"+splits[1] + "_" + splits[2] + # exp 5 + if "Exp.5" in exp: + key_name = splits[0]+"_"+splits[1] + "_" + splits[2] + "_" + splits[3] + if "Zero-shot" in path_name: + key_name = splits[0]+"_"+splits[1] + "_" + splits[2] + "_" + splits[3].split(".wav_")[0] + # exp 6 + if "Exp.6" in exp: + key_name = splits[0]+"_"+splits[1] + "_" + splits[2] + # In exp 6 (voice conversion exp) we need the MOS for all the part not just for m-m, m-f, f-f, m-f individually + key_name_all_exp_VC = splits[0]+"_"+splits[1] + if key_name_all_exp_VC not in mos_dict.keys(): + mos_dict[key_name_all_exp_VC] = [score] + else: + mos_dict[key_name_all_exp_VC] += [score] + + if key_name not in mos_dict.keys(): + mos_dict[key_name] = [score] + else: + mos_dict[key_name] += [score] + + compute_confidence_intervals(mos_dict, exp) + +if __name__ == "__main__": + """ + + Usage: + For Similarity MOS: + python3 compute_similarity_MOS.py --csv_path EN/Sim-MOS.csv + For Naturalness MOS: + python3 compute_similarity_MOS.py --csv_path EN/naturalness-MOS.csv + + """ + parser = argparse.ArgumentParser() + parser.add_argument('-c', '--csv_path', type=str, default="Sim-MOS.csv", + help='The CSV file path') + parser.add_argument('-i', '--confidence_level', type=float, default=0.95, + help='set the confidence level for the confience interval calculation. Default: 0.95') + args = parser.parse_args() + + compute_MOS(args.csv_path, args.confidence_level) \ No newline at end of file