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.

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

Official PyTorch implementation of BigVGAN (ICLR 2023)

Deep Convolutional Neural Networks for Musical Source Separation

A soundfont editor for quickly designing musical instruments.

openFrameworks addon for audio synthesis and generative music

Pytorch implementation of BigVSAN

Library for pure Rust advanced audio synthesis.

PC Music Generator - a Virtual Modular Synthesizer

A python toolkit for automatic audio/MIDI rendering using REAPER

Pythonic audio processing and generation framework

jazznet dataset of piano patterns for music audio machine learning research

Interactive audio in Jupyter

A creative coding library.

Generative voice cloning model using TTS synthesis with state-of-the-art Zero-Shot Multi-Speaker functionality. An web api built with the YourTTS TTS model to clone and generate realistic audio waves

Text prompt steered synthetic audio generators

🔊 Text2Speech, Voice-Cloning and Voice2Voice conversion with the text-prompted generative audio model bark

Deep Performer: Score-to-audio music performance synthesis

Really-Real Time FM Tone Transfer Audio Pluigin

Code for our paper "VaPar Synth - A Variational Parametric Model for Audio Synthesis"