The PyTorch-based audio source separation toolkit for researchers
Unofficial PyTorch implementation of Google AI's VoiceFilter system
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Deep Recurrent Neural Networks for Source Separation
An app for creating audio-based content such as song covers and speech using Retrieval-based Voice Conversion.
A PyTorch implementation of DNN-based source separation.
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
Offline media processing utility powered by FFmpeg, local AI, and fast right-click workflows.
An implementation of audio source separation tools.
Strip background music from YouTube videos
Ultimate Vocal Remover for Google Colab
Official PyTorch implementation for "Iterative Audio Separation with Mixture Consistency via MIMO Model Extension"
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
Variations of L1 SNR Loss function for training audio source separation machine learning models
AI video auto-dubbing plugin for coding agents — translate & dub videos into multiple languages via the Perso Dubbing API. Works with Claude Code, Cursor, Codex & Antigravity.
Real time multilingual face translator
Unofficial PyTorch implementation of "Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation"
Software that performs the separation of vocals from music using neural networks (part of my Bachelor's thesis).
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