Deep Music Genre Classification

Using deep learning to categorize music as time progresses through dpectrogram snalysis.

About

Our aim is to create a neural network (CNN + LSTM RNN) that recognizes music genre and provides a user-friendly visualization for the network's current belief of the genre of a song.

This project uses Keras, using TensorFlow for the backend, for the neural network and Tornado for serving requests.

Background

The rationale for this particular model is based on several works, primarily Grzegorz Gwardys and Daniel Grzywczak, Deep Image Features in Music Information Retrieval, Recommending music on Spotify with Deep Learning, and Convolutional-Recurrent Neural Network for Live Music Genre Recognition.

Data

Spectrogram Representation

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Dataset

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Model

Motivation

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Architecture

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Results

Summary Statistics

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Conclusion

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Demo

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Usage

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Slides

The slide deck can be found on Google Slides: Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis.