AndongLi (Andong-Li-speech)

Andong-Li-speech

Geek Repo

Location:Beijing, China

Home Page:https://andong-li-speech.github.io

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AndongLi's repositories

DARCN

The implementation of "A Recursive Network with Dynamic Attention for Monaural Speech Enhancement"

EaBNet

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

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.

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)

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TaylorBeamformer

The implementation of TaylorBeamformer, which is in submission to Interspeech2022

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G2Net

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

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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.

MDNet

The implementation of MDNet, which is in submission to Interspeech2022

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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)

DeepFilterNet

Noise supression using deep filtering

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pyaec

simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.

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TaylorBM-Demo

This is the demo website of TaylorBM, which is in submission to ICASSP 2023.

anonymous_demo

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

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FullSubNet-plus

The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".

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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.

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demopage-voicefixer

Voicefixer is a speech restoration model that handles noise, reverberation, low resolution (2kHz~44.1kHz), and clipping (0.1-1.0 threshold) distortion simultaneously.

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nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

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AB_test_platform_TASLP

This repository provides the subjective testing platform between baselines and proposed approach

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minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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pytorch_complex

A temporal module for PyTorch-ComplexTensor

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shennong

A Python toolbox for speech features extraction

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ucasthesis

LaTeX Thesis Template for the University of Chinese Academy of Sciences

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