Music-Genre-Classification

This is a Keras implementation to classify genre of audio files from GTZAN Genre Collection using Neural Networks.

Todo:

• Instead of applying dense neural networks, convert audio files to spectrogram images and apply cnn model
• Model is overfitting, therefore, apply regularisation
• Other dataset that can be used is Audio set dataset made available by Google Inc.

References:

1. Dropout: A Simple Way to Prevent Neural Networks from Overfitting
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
3. This notebook uses librosa library to extract features features from audio clips.
4. Medium blog by Parul Pandey