Official PyTorch implementation of Contrastive Learning of Musical Representations

Music genre classification model using CRNN

A TensorFlow+Keras implementation of "Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms"

Genre Classification using Convolutional Neural Networks

Tracking states of the arts and recent results (bibliography) on sound tasks.

A Fine-Grained House Music Dataset

Musical genre recognition using a CNN

Lyra - A Dataset for Greek Traditional and Folk Music

PyTorch implementation of cross-cultural music transfer learning

Audio classifier, encoder, and search engine in Java

A deep learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube

Build neural network models for musical genre classification using pytorch

Using machine learning for the study of music.

Music classification, music search, music recommender and music encoder implemented in Tensorflow and Java

CNN, RNN and CRNN classification music by genre, with pre-processing into mel-spectrograms as pictures

ISMIR 2023 Papers: This is a fork for pull requests to the original repository at https://github.com/yamathcy/ISMIR-2023-Papers.

Checking basic machine learning models for Iranian music genere detection. Out models include both classification and clustering models.

A convolutional neural network which classifies music genres based on spectrograms.