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Acoustic Echo Cancellation system for the ADSP-BF533 EZ-KIT Board. Eliminates both simulated and real-world echoes.
基于深度学习的声学回声消除基线代码
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.
Deep Feedforward sequential memory networks(FSMN)
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.
Some samples of simulations described in ''Nonlinear Residual Echo Suppression Based on Dual-Stream DPRNN''
This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.
Submission to the 1st Acoustic Echo Cancellation Challenge, Microsoft and ICASSP 2021.
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x
Monophonic Acoustic Echo Cancellation (AEC) demo.
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.
NISQA - Non-Intrusive Speech Quality Assessment
NNAEC-Neural Network based Acoustic Echo Cancellation
deep learning based speech enhancement using keras python, make it easy to use
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.
Speex audio processing library - Please send patches to [email protected]
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
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