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

Deezer source separation library including pretrained models.

A PyTorch-based Speech Toolkit

• Updated Jun 29, 2022
• C++

macOS System-wide Audio Equalizer & Volume Mixer 🎧

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

🎛 🔊 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

List of articles related to deep learning applied to music

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

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

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.

Your Hardcore Loop Machine.

Open-Source Large Vocabulary Continuous Speech Recognition Engine