Popular GitHub Repositories for Speech Enhancement

Noise supression using deep filtering

The PyTorch-based audio source separation toolkit for researchers

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.

Voice Conversion Tool Kit

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

Tools for Speech Enhancement integrated with Kaldi

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

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

simple delaysum, MVDR and CGMM-MVDR

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

VoiceRestore: Flow-Matching Transformers for Universal Speech Restoration

The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

Machine and Deep Learning models for speech dereverberation

Open implementation of UNIVERSE and UNIVERSE++ diffusion-based speech enhancement models.

MANNER: Multi-view Attention Network for Noise ERasure (Speech enhancement in time-domain)

speech-enhacement

Real-time speech enhancement mobile app using Nested U-Net

Generative voice cloning model using TTS synthesis with state-of-the-art Zero-Shot Multi-Speaker functionality. An web api built with the YourTTS TTS model to clone and generate realistic audio waves

This repository contains the code for our upcoming paper An Investigation of End-to-End Models for Robust Speech Recognition at ICASSP 2021.

Source Separation training codebase for the Sound Demixing Challenge 2023.