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#

speech-separation

Here are 86 public repositories matching this topic...

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

  • UpdatedAug 14, 2025
  • Python

The PyTorch-based audio source separation toolkit for researchers

  • UpdatedOct 6, 2025
  • Python

Unofficial PyTorch implementation of Google AI's VoiceFilter system

  • UpdatedJul 25, 2024
  • Python

A must-read paper for speech separation based on neural networks

  • UpdatedAug 11, 2025
  • TypeScript

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

  • UpdatedApr 6, 2023
  • Python

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

  • UpdatedAug 19, 2023
  • Python

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

  • UpdatedMay 26, 2023
  • Python

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

  • UpdatedFeb 17, 2022
  • MATLAB

UniSpeech - Large Scale Self-Supervised Learning for Speech

  • UpdatedApr 5, 2024
  • Python

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

  • UpdatedJan 9, 2021
  • MATLAB

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

  • UpdatedFeb 14, 2023
  • Python

Tools for Speech Enhancement integrated with Kaldi

  • UpdatedJul 6, 2023
  • Python

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

  • UpdatedJun 18, 2025
  • HTML

Deep Recurrent Neural Networks for Source Separation

  • UpdatedJul 21, 2021
  • MATLAB

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

  • UpdatedJul 6, 2023
  • Jupyter Notebook

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