Music-Genre-Classification

Music Genre Classification using GTZAN Dataset.Here is the Link to Dataset GTZAN Dataset

I Made a Web App using Streamlit For the Convolutional Neural Network (CNN) Model and Deployed it on Amazon EC2

The Dataset contains 10 Genres of music :

Genres

• Blues
• Classical
• Country
• Disco
• Hip-Hop
• Jazz
• Metal
• Pop
• Reggae
• Rock

Dataset

• Each Genre contains 100 audio files each of duration 30s.
• Divided 30s audio files into 10 files of 3s each.
• This Data Augmentation really helps model learn better and it performes better on the test set.

Models

I have explored the problem using two approaches

1. Using Deep Neural Network (DNN) Model which made use of features such as MFCC's,spectral centroids, extracted features are in features_3sec.csv
2. Using Convolutional Neural Network (CNN) Model which made use of Mel Spectrogram of the Audio Files.

Results

So this the training and test accuracy obtained after 250 epochs. A simple DNN model is also showing quite good test accuracy due to data augmentation