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.

YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open

An AI for Music Generation

🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥

MIDI / symbolic music tokenizers for Deep Learning models 🎶

Train an LSTM to generate piano or violin/piano music.

"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020

Implementation of MusicLM, a text to music model published by Google Research, with a few modifications.

OpenMusic: SOTA Text-to-music (TTM) Generation

InspireMusic: A Unified Framework for Music, Song, Audio Generation.

A toolkit for symbolic music generation

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!

Experiment diverse Deep learning models for music generation with TensorFlow

music generation with masked transformers!

This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation

[ACM MM 2021 Best Paper Award] Video Background Music Generation with Controllable Music Transformer

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

RaveForce - An OpenAI Gym style toolkit for music generation experiments.

Midi event transformer for symbolic music generation

Local windowed attention multi-instrumental music transformer for supervised music generation