Music_Genre_Classification

Music Genre Classification for the GTZAN dataset using ANN and CNN models

Guide

For our code, it's best if viewed or ran as Jupyter Notebook or Google Collab.

There are multiple files in this zip folder. The file description of files are as follows.

requirment.txt contains all the modules and their version number used in this project.
Generate_img.ipynb generate melspectrogram images for all the audio files.
ANN-N.ipynb contains our models of ANN architecture.
CNN.ipynb contains our convolutional model that works well for grayscale images.
CNN_keras.ipynb contains our convolutional model that was made using Keras to work with RGB images.
ML.ipynb contains our Machine Learning model that uses GridSearch
30sec_report.html, and 3sec_report.html are html report generated using Pandas Profiling.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.DS_Store		.DS_Store
.gitattributes		.gitattributes
30sec_report.html		30sec_report.html
3sec_report.html		3sec_report.html
ANN-N.ipynb		ANN-N.ipynb
CNN.ipynb		CNN.ipynb
CNN_keras.ipynb		CNN_keras.ipynb
CS615_Project.pdf		CS615_Project.pdf
Genrate_img.ipynb		Genrate_img.ipynb
ML.ipynb		ML.ipynb
README.md		README.md
requirements.txt		requirements.txt