Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

A list of Machine Learning Art Colabs

Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.

Steerable discovery of neural audio effects

Third-party audio effects plugins as differentiable layers within deep neural networks.

PyTorch wrappers for using your model in audacity!

Randomized overdrive neural networks

Tools to create your own voice dataset for TTS training

A JUCE module for analog emulation using the Discrete K-Method

Audio Coding Tutorials

Official implementation of the paper PitchFlower: A flow-based neural audio codec with pitch controllability

Think DSP second edition

Continuous descriptor-based control for deep audio synthesis

Virtual Analog Model of an Aphex Type B Aural Exciter

The SCHAEFFER dataset (Spectro-morphogical Corpus of Human-annotated Audio with Electroacoustic Features For Experimental Research), is a compilation of 1000 raw audio files accompanied by human an…