andong-li-speech Goto Github PK

minimal-mistakes

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

mwcnn

Multi-level Wavelet-CNN for Image Restoration

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

nn-gev

Neural network supported GEV beamformer

nnaudio

Audio processing by using pytorch 1D convolution network

pisr

An official implementation of "Learning with Privileged Information for Efficient Image Super-Resolution" (ECCV2020) in PyTorch.

prenet

Progressive Image Deraining Networks: A Better and Simpler Baseline (CVPR 2019)

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.

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.

pytorch-i-revnet

i-RevNet Pytorch Code

pytorch-stft

An STFT/iSTFT for PyTorch.

pytorch_complex

A temporal module for PyTorch-ComplexTensor

ragnet

recderain

Single Image Deraining Using Bilateral Recurrent Network (TIP 2020)

rtnet

implementation of Monaural Speech Enhancement with Recursive Learning in the Time Domain

s2net

Supervised Spiking Network

sep_eval

sepstereo_eccv2020

Codebase for the paper "Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation" (ECCV2020)

seril

Official Implementation of SERIL in Pytorch

shennong

A Python toolbox for speech features extraction

smir-generator

Spherical Microphone array Impulse Response generator (SMIRgen)

speaker_extraction

target speaker extraction and verification for multi-talker speech

speech-enhancement-dnn

Use DNN to estimate the phase information of the speech in STFT filed to improve the speech quality and intelligibility.

steernet

tac

transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

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.

taylorbeamformer

The implementation of TaylorBeamformer, which is in submission to Interspeech2022

taylorbm-demo

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

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)