A PyTorch-based Speech Toolkit

End-to-End Speech Processing Toolkit

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

Noise supression using deep filtering

The PyTorch-based audio source separation toolkit for researchers

AI powered speech denoising and enhancement

General Speech Restoration

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

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

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

Voice Conversion Tool Kit

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

The official implementation of GTCRN, an ultra-lightweight SE model.

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

Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

The dataset of Speech Recognition

Python implementation of performance metrics in Loizou's Speech Enhancement book

Tools for Speech Enhancement integrated with Kaldi

Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

deep learning based speech enhancement using keras or pytorch, make it easy to use

Pytorch based speech enhancement toolkit.

Real-time GCC-NMF Blind Speech Separation and Enhancement

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

Collection of EM algorithms for blind source separation of audio signals

General Speech Restoration

simple delaysum, MVDR and CGMM-MVDR

A unofficial Pytorch implementation of Microsoft's PHASEN