hido710

hido710's Stars

• hyeonsangjeon/computing-Korean-STT-error-rates

  STT 한글 문장 인식기 출력 스크립트의 외자 오류율(CER), 단어 오류율(WER)을 계산하는 Python 함수 패키지

  Language:Python548

• maggie0830/DCCRN

  implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

  17831

• RookieJunChen/FS-CANet

  A Page Demo For FS-CANet：https://hit-thusz-rookiecj.github.io/FS-CANet/

  Language:SCSS32

• ChihebTrabelsi/deep_complex_networks

  Implementation related to the Deep Complex Networks

  Language:Python724281

• Audio-WestlakeU/NBSS

  The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation

  Language:Python19422

• JupiterEthan/GCRN-complex

  Language:Python8637

• sp-uhh/deep-non-linear-filter

  Language:Python4410

• Andong-Li-speech/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

• Andong-Li-speech/TaylorBM-Demo

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

  Language:HTML4

• JaeBinCHA7/2021-DNN-based-SpeechEnhancement-Challenge

  2021 AI Challenge : DNN-based SE in the frequency domain using Pytorch. You can test some state-of-the-art networks using T-F masking or spectral mapping method.

  Language:Python42

• 0aqz0/pytorch-attention-mechanism

  my codes for learning attention mechanism

  Language:Python506

• yluo42/TAC

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

  Language:Python24654

• huyanxin/DeepComplexCRN

  Language:HTML39197

• ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation

  A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

  Language:Python16541

• ujscjj/DPTNet

  Language:Python10524

• AkojimaSLP/Beamforming-for-speech-enhancement

  simple delaysum, MVDR and CGMM-MVDR

  Language:Python23272

• yoonsanghyu/Dual-Path-Transformer-Network-PyTorch

  Unofficial implementation of Dual-Path Transformer Network (DPTNet) for speech separation (Interspeech 2020)

  Language:Python4110

• SherifAbdulatif/CMGAN

  Conformer-based Metric GAN for speech enhancement

  Language:Python242

• felixfuyihui/Uformer

  Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

  Language:Python9215

• jzi040941/PercepNet

  Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

  Language:C++32491

• ruizhecao96/CMGAN

  Conformer-based Metric GAN for speech enhancement

  Language:Python29656

• santi-pdp/segan_pytorch

  Speech Enhancement Generative Adversarial Network in PyTorch

  Language:Python373109

• asteroid-team/asteroid

  The PyTorch-based audio source separation toolkit for researchers

  Language:Python2.2k419

• Andong-Li-speech/TaylorBeamformer

  The implementation of TaylorBeamformer, which is in submission to Interspeech2022

  Language:Python398

• tencent-ailab/FRA-RIR

  Language:Python16824

• Andong-Li-speech/EaBNet

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

  Language:Python7514

• microsoft/DNS-Challenge

  This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

  Language:Python1.1k406

• Enny1991/beamformers

  Easy to use Beamformers for multi-channel speech separation/enhancement

  Language:Python17648

• DavidDiazGuerra/gpuRIR

  Python library for Room Impulse Response (RIR) simulation with GPU acceleration

  Language:Cuda47491

• yuhogun0908/MISOnet

  Unofficial Multi-microphone complex spectral mapping for utterance-wise and continuous speech separation(MISO-BF-MISO)

  Language:Python519