AndongLi (@Andong-Li-speech)
github

Andong-Li-speech

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  • Stars
    star
    451
  • Global Rank 63,238 (Top 3 %)
  • Followers 336
  • Following 137
  • Registered about 5 years ago
  • Most used languages
    Python
         75.0 %
    HTML
         16.7 %
    CSS
         8.3 %
  • Location 🇨🇳 China
  • Country Total Rank 9,669
  • Country Ranking
    Python
         1,733
    HTML
         4,967
    CSS
         5,452

Top repositories

1

DARCN

The implementation of "A Recursive Network with Dynamic Attention for Monaural Speech Enhancement"
Python
79
star
2

EaBNet

This is the repo of the manuscript "Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement", which was submitted to ICASSP2022.
Python
74
star
3

GaGNet

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.
Python
61
star
4

TaylorSENet

This is the implementation of the paper ''Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement'', which was accepted by IJCAI-ECAI2022 (Long oral)
Python
58
star
5

RTNet

implementation of Monaural Speech Enhancement with Recursive Learning in the Time Domain
Python
43
star
6

TaylorBeamformer

The implementation of TaylorBeamformer, which is in submission to Interspeech2022
Python
37
star
7

G2Net

The implementation of G2Net, the extension of GaGNet and is in submission to T-ASLP
Python
19
star
8

TaEr

This is the implementation of the manuscript "Learning General All-Neural Speech Enhancement based on Taylor's Approximation Theory", which is the extension of our previous work in IJCAI2022 and is submitted to TASLP.
14
star
9

MDNet

The implementation of MDNet, which is in submission to Interspeech2022
Python
12
star
10

CTS-Net

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)
8
star
11

Neural-Vocoders-as-Speech-Enhancers

Python
5
star
12

TaylorBM-Demo

This is the demo website of TaylorBM, which is in submission to ICASSP 2023.
HTML
4
star
13

3rd-DNS-Challenge-samples

4
star
14

anonymous_demo

This is the anonymous demo of the proposed speech enhancement system, which is submitted to XXX 2022.
3
star
15

EaBNet-Demo

HTML
2
star
16

DNS-Challenge-IACASlab9.github.io

CSS
2
star
17

DARGAN

implementation of Dynamic Attention Recursive GAN (DARGAN), the code will be released in the near furture.
1
star
18

CTS_TASLP_demos

Some demos for CTS_Net in the submitted manuscript for TASLP
1
star
19

Generalized_loss_samples

Samples for "A Supervised Speech Enhancement Approach with Residual Noise Control for Voice Communication"
1
star