List of articles related to deep learning applied to music

C++ library for audio and music analysis, description and synthesis, including Python bindings

FMA: A Dataset For Music Analysis

Instructional notebooks on music information retrieval.

Audio feature extraction for JavaScript.

Python audio and music signal processing library

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

Music Structure Analysis Framework

R wrapper for Spotify's Web API

A C++ Library for Audio Analysis

DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Collection of datasets used for Optical Music Recognition

The code for the MaD TwinNet. Demo page:

A Machine Learning Approach of Emotional Model

Easily access song lyrics from Genius in a tibble.

Metadata, scripts and baselines for the MTG-Jamendo dataset

JavaScript library for music/audio analysis and processing powered by WebAssembly

🎹 symbolic musical datasets

Package for automatic beat-mixing of music files in Python 🐻🎚

Slides and Code for "An Introduction to Audio Content Analysis," also taught at Georgia Tech as MUSI-6201 - Computational Music Analysis. This introductory course on Music Information Retrieval is based on the text book "An Introduction to Audio Content Analysis", Wiley 2012

🎧 lead sheet datasets in various formats

Music genre classification model using CRNN

Music Synthesis with Python talk, originally given at PyGotham 2017.

Turkish Makam Music Symbolic Data Collection

Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook

Automatic Music Genre Classification with Machine Learning Techniques

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

Algorithms for matching audio file similarities. Mirror of https://git.iem.at/sciss/Strugatzki

A Multimodal Audio Sheet Music Dataset