andong-li-speech Goto Github PK
Name: AndongLi
Type: User
Bio: Institute of Acoustics, Chinese Academy of Sciences (IACAS). Love is love : )
Location: Beijing, China
Name: AndongLi
Type: User
Bio: Institute of Acoustics, Chinese Academy of Sciences (IACAS). Love is love : )
Location: Beijing, China
This repository provides the subjective testing platform between baselines and proposed approach
This is the anonymous demo of the proposed speech enhancement system, which is submitted to XXX 2022.
Audio Source Separation on steroids
Big Impulse Response Dataset
Communication Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays
The supplemental material and samples with respect to the paper "TWO HEADS ARE BETTER THAN ONE: A TWO-STAGE APPROACH FOR MONAURAL NOISE REDUCTION IN THE COMPLEX DOMAIN" are provided (submitted to ICASSP 2021)
Some demos for CTS_Net in the submitted manuscript for TASLP
The implementation of "A Recursive Network with Dynamic Attention for Monaural Speech Enhancement"
implementation of Dynamic Attention Recursive GAN (DARGAN), the code will be released in the near furture.
Noise supression using deep filtering
Voicefixer is a speech restoration model that handles noise, reverberation, low resolution (2kHz~44.1kHz), and clipping (0.1-1.0 threshold) distortion simultaneously.
Smoothed Dilated Convolutions for Improved Dense Prediction
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.
This is the repo of the manuscript "Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement", which was submitted to ICASSP2022.
The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".
The implementation of G2Net, the extension of GaGNet and is in submission to T-ASLP
This repo provides the network code and the processed samples of the manuscript "Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement", which was accepted by Elsevier Applied Acoustics.
Samples for "A Supervised Speech Enhancement Approach with Residual Noise Control for Voice Communication"
CVPR-2021
A fully intertible U-Net for memory efficiency in Pytorch.
[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"
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