Audio-AGI/AudioSep

The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

Easy to use stem (e.g. instrumental/vocals) separation from CLI or as a python package, using a variety of amazing pre-trained models (primarily from UVR)

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Deezer source separation library including pretrained models.

Vocal Remover using Deep Neural Networks

Code for the paper Hybrid Spectrogram and Waveform Source Separation

The PyTorch-based audio source separation toolkit for researchers

Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation