MTG/essentia

Python library for audio and music analysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

DDSP: Differentiable Digital Signal Processing

Deezer source separation library including pretrained models.

projectM - Cross-platform Music Visualization Library. Open-source and Milkdrop-compatible.

🎛 🔊 A Python library for audio.

Code for the paper Hybrid Spectrogram and Waveform Source Separation

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 music generation LM with textual and melodic conditioning.

An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.