vipchengrui

traditional-speech-enhancement

Spectral Subtraction, Wiener Filtering, MMSE

MASG

microphone array speech generator (MASG) in room acoustic

EVS-codec

3GPP Codec for Enhanced Voice Services (EVS)

deeplearning-models

A collection of various deep learning architectures, models, and tips

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

TasNet

A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.

AdaptiveFilter

This rep contains awesome adaptive filter algorithms in 3 classic books.

asteroid

The PyTorch-based audio source separation toolkit for researchers || Current highlight : we got our WHAMR results check it out here !

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cgmm-mask-estimator

Implementation of the offline method described in "Robust mvdr beamforming using time-frequency masks for online/offline asr in noise" (for python version please refer to https://github.com/funcwj/setk)

code_2020ICASSP_five

Fast Independent Vector Extraction: Code and data to reproduce the results from the paper.

Conv-TasNet

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

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

crnn.pytorch

Convolutional recurrent network in pytorch

griflim

Phase reconstruction with the Griffin and Lim algorithm.

independent-analysis

Real-Time Independent Vector Analysis

jhu-neural-wpe

Neural Dereverberation

Project_sp_ehance_matlab

pyroomacoustics

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

pytorch-wavenet

An implementation of WaveNet with fast generation

pytorch_convolutional_rnn

PyTorch implementation of Convolutional Recurrent Neural Network

Real_Time_DSP_Blind_Source_Separation

Given an signal channel audio with multi-instruments, separate each instrument to different channels in REAL_TIME

WebRTC-3A1V

AEC, AGC, ANS, VAD, CNG in WebRTC

WebRTC-audio-processing

webrtc audio processing