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.

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.

A toolkit for symbolic music generation

Experiment diverse Deep learning models for music generation with TensorFlow

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

music generation with masked transformers!

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!

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

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

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

Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)

PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.

A python framework for symbolic music generation, evaluation and analysis

[ICLR2023] Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation (CDCD).