AI Audio Datasets 🎵. A list of datasets consisting of speech, music, and sound effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

music generation with masked transformers!

MIDI / symbolic music tokenizers for Deep Learning models 🎶

This is a list of sound, audio and music development tools which contains machine learning, audio generation, audio signal processing, sound synthesis, spatial audio, music information retrieval, music generation, speech recognition, speech synthesis, singing voice synthesis and more.

An experimental browser based front end to csound for simple music composition.

Chris Korda, digital artist and antinatalist.

Tegridy MIDI Dataset for precise and effective Music AI models creation.

Symbolic Music NLP Artificial Intelligence Toolkit

A WIP experimental app to programmatically generate music in a Baroque style.

Daily tracking of awesome audio papers, including music generation, zero-shot tts, asr, audio generation

Live coding and synthesis with NodeJS and a browser

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

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

A complete and open application for automatic backing tracks generation.

JJazzLab core in one jar library

a list of demo websites for automatic music generation research

A Bach music generator using a neural network trained using a genetic algorithm.

Music generation program based on codified Western classical music principles.

A python implementation of Clarence Barlow's metric indispensability algorithm