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acoustic-echo-cancellation

Acoustic Echo Cancellation system for the ADSP-BF533 EZ-KIT Board. Eliminates both simulated and real-world echoes.

aec_deepmodel

基于深度学习的声学回声消除基线代码

athena-signal

bssaec2020

A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation

deepxi

Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.

dfsmn-based-lightweight-speech-enhancement

Deep Feedforward sequential memory networks(FSMN)

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

dsdprnn-samples

Some samples of simulations described in ''Nonlinear Residual Echo Suppression Based on Dual-Stream DPRNN''

dtln-aec

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

echo-debar-aec

Submission to the 1st Acoustic Echo Cancellation Challenge, Microsoft and ICASSP 2021.

eigen

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

frozen-graph-tensorflow

Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x

mono_aec

Monophonic Acoustic Echo Cancellation (AEC) demo.

ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

multi-channel-acoustic-echo-cancellation

nisqa

NISQA - Non-Intrusive Speech Quality Assessment

nnaec-neuralnetworkbasedacousticechocancellation

NNAEC-Neural Network based Acoustic Echo Cancellation

sednn

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

speech_enhancement

speech enhancement using DNN: [1] Xu, Y., Du, J., Dai, L.R. and Lee, C.H., 2015. A regression approach to speech enhancement based on deep neural networks. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 23(1), pp.7-19. https://github.com/yongxuUSTC/sednn/tree/master/mixture2clean_dnn CRN: Park S R , Lee J . A Fully Convolutional Neural Network for Speech Enhancement[J]. 2016. DSN(still coding): Nie S , Zhang H , Zhang X L , et al. DEEP STACKING NETWORKS WITH TIME SERIES FOR SPEECH SEPARATION[J]. 2014.

speexdsp

Speex audio processing library - Please send patches to [email protected]

unified2021

A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION