speech-enhancement

There are 76 repositories under speech-enhancement topic.

speechbrain / speechbrain
A PyTorch-based Speech Toolkit
speech-recognition speech-toolkit speaker-recognition speech-to-text speech-enhancement speech-separation audio audio-processing speech-processing speechrecognition asr voice-recognition spoken-language-understanding speaker-diarization speaker-verification pytorch huggingface transformers language-model deep-learning
Language:Python 7963
espnet / espnet
End-to-End Speech Processing Toolkit
chainer deep-learning end-to-end kaldi machine-translation pytorch singing-voice-synthesis speaker-diarization speech-enhancement speech-recognition speech-separation speech-synthesis speech-translation spoken-language-understanding voice-conversion
Language:Python 7932
asteroid-team / asteroid
The PyTorch-based audio source separation toolkit for researchers
source-separation speech-separation audio-separation speech-enhancement deep-learning pytorch pretrained-models
Language:Python 2123
Rikorose / DeepFilterNet
Noise supression using deep filtering
audio deep-learning noise-suppression pytorch rust speech speech-enhancement
Language:Python 1972
resemble-ai / resemble-enhance
AI powered speech denoising and enhancement
denoise speech-denoising speech-enhancement speech-processing
Language:Python 937
haoheliu / voicefixer
General Speech Restoration
speech-processing speech-synthesis speech-enhancement speech-analysis speech tts declipping dereverberation denoise super-resolution vocoder mel
Language:Python 920
JusperLee / Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
paper speech-enhancement speech-separation voice-separation
707
nanahou / Awesome-Speech-Enhancement
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
speech-enhancement speech-processing signal-processing deep-neural-networks machine-learning-algorithms
Language:MATLAB 676
k2kobayashi / sprocket
Voice Conversion Tool Kit
voice-conversion speech-synthesis sprockets speech-enhancement
Language:Python 588
breizhn / DTLN
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
audio audio-processing deep-learning dns-challenge dtln-model keras noise-reduction noise-suppression onnx raspberry-pi real-time-audio speech-denoising speech-enhancement speech-processing tensorflow tf-lite
Language:Python 545
Audio-WestlakeU / FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
speech-enhancement speech-processing speech-separation pytorch pretrained-model paper full-band sub-band single-channel noise-reduction denoising audio band narrow-band reproducible-research speech
Language:Python 508
anicolson / DeepXi
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
resnet tensorflow speech-enhancement robust-asr deepxi a-priori-snr-estimator mmse minimum-mean-square-error mmse-lsa residual-networks deep-xi speech-separation noise-estimation source-separation deepmmse tcn keras attention mhanet multi-head-attention
Language:MATLAB 486
funcwj / setk
Tools for Speech Enhancement integrated with Kaldi
kaldi speech-enhancement beamforming speech speech-separation rir-generator time-frequency-masking
Language:Python 390
double22a / speech_dataset
The dataset of Speech Recognition
asr speech-recognition deep-learning dataset audio deep-neural-networks wav speech-to-text speech tts speech-synthesis voice-conversion speech-translation speech-enhancement speech-diarization speech-separation speech-segmentation text-to-speech automatic-speech-recognition
362
schmiph2 / pysepm
Python implementation of performance metrics in Loizou's Speech Enhancement book
fwsnrseg llr performance-measures pesq python snrseg speech-enhancement speech-intelligibility speech-quality stoi wss
Language:Python 357
yongxuUSTC / sednn
deep learning based speech enhancement using keras or pytorch, make it easy to use
deep-learning deep-neural-networks speech speech-enhancement
Language:Python 332
shahules786 / mayavoz
Pytorch based speech enhancement toolkit.
deep-learning pretrained-models python pytorch speech-enhancement audio-enhancement denoiser
Language:Python 318
haoxiangsnr / Wave-U-Net-for-Speech-Enhancement
Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
pytorch speech-enhancement speech-processing speechenhancement unet wave-u-net wave-unet
Language:Python 308
jzi040941 / PercepNet
Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
pytorch speech-enhancement
Language:C++ 308
seanwood / gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
speech-separation speech-enhancement gcc-nmf nmf real-time real-time-processing speech speech-processing cross-correlation generalized-cross-correlation low-latency machine-learning unsupervised-machine-learning dictionary-learning gcc tdoa ipython-notebook speaker
Language:Python 308
aishoot / LSTM_PIT_Speech_Separation
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
speech-separation audio-separation robust-speech-recognition permutation-invariant-training multi-speaker speech-enhancement
Language:Jupyter Notebook 302
haoxiangsnr / A-Convolutional-Recurrent-Neural-Network-for-Real-Time-Speech-Enhancement
A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch
cnn cnn-rnn pytorch real-time rnn speech-enhancement speech-processing
Language:Python 293
haoheliu / voicefixer_main
General Speech Restoration
machine-learning speech speech-analysis speech-enhancement speech-processing speech-synthesis speech-to-text tts
Language:Python 266
fgnt / pb_bss
Collection of EM algorithms for blind source separation of audio signals
beamforming bss em-algorithm multi-channel source-separation speech-enhancement speech-processing
Language:Python 258
huyanxin / phasen
A unofficial Pytorch implementation of Microsoft's PHASEN
pytorch pytorch-implementation speech-enhancement
Language:Python 212
jtkim-kaist / Speech-enhancement
Deep neural network based speech enhancement toolkit
speech-enhancement speech-processing
Language:MATLAB 209
AkojimaSLP / Beamforming-for-speech-enhancement
simple delaysum, MVDR and CGMM-MVDR
speech-enhancement beamforming delay-sum mvdr cgmm-mvdr speech-recognition speech-processing signal-processing python
Language:Python 208
yxlu-0102 / MP-SENet
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra
mp-senet phase-estimation pytorch speech-enhancement
Language:Python 201
sekiguchi92 / SoundSourceSeparation
The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.
cupy dereverberation fastmnmf python python3 pytorch sound-separation speech-enhancement speech-processing
Language:Python 179
echocatzh / MTFAA-Net
Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement
acoustic-echo-cancellation dns-challenge speech-enhancement
Language:Python 170
madhavmk / Noise2Noise-audio_denoising_without_clean_training_data
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
speech-denoising audio-denoising speech-enhancement audio-enhancement noise-reduction noise-removal noise2noise deep-learning autoencoder data-collection speech
Language:Jupyter Notebook 160
james34602 / SpleeterRT
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
spleeter cnn convolutional tensorflow vst plugin dsp stft source-separation bss neural-network audio-processing deep-learning model speech-enhancement spectrogram segmentation intel-mkl-library machine-learning signal-processing
Language:C 150
helianvine / fdndlp
A speech dereverberation algorithm, also called wpe
dereverberation speech-enhancement
Language:Python 145
funcwj / aps
A personal toolkit for single/multi-channel speech recognition & enhancement & separation.
speech-recognition speech-enhancement speech-separation multi-channel kaldi speech end-to-end
Language:Python 131
KyleZhang1118 / Voice-Separation-and-Enhancement
A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.
multi-channel speech-enhancement speech-separation
Language:MATLAB 126
audiolabs / torch-pesq
PyTorch implementation of the Perceptual Evaluation of Speech Quality for wideband audio
perceptual-losses pesq python3 pytorch speech-enhancement
Language:Python 117