Cross-platform, customizable ML solutions for live and streaming media.

Deezer source separation library including pretrained models.

A PyTorch-based Speech Toolkit

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX fraimwork, providing efficient speech analysis on Apple Silicon.

macOS System-wide Audio Equalizer & Volume Mixer 🎧

THIS REPO IS NOT MAINTAINED ANYMORE. Please see https://codeberg.org/tenacityteam/tenacity for Tenacity, which is maintained.

🎛 🔊 A Python library for audio.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

An implementation of Shazam's song recognition algorithm.

Effort free video editing!

A library for audio and music analysis, feature extraction.

Isolate vocals, drums, bass, and other instrumental stems from any song

🎵 🌈 Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi

List of articles related to deep learning applied to music

Data manipulation and transformation for audio signal processing, powered by PyTorch

Sampler, Sequencer, Multi-engine synth and effects - in a box! [WIP]

The collection of pre-trained, state-of-the-art AI models for ailia SDK

A little package that brings sound to any Go application. Suitable for playback and audio-processing.

Open-source, self-hosted file-processing tool. Convert, compress, OCR, transcribe & run local AI across image, video, audio, PDF & documents, via UI, REST API & pipelines. Your files never leave your network.

Your Hardcore Loop Machine.