speech-separation
There are 76 repositories under speech-separation topic.
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
espnet/espnet
End-to-End Speech Processing Toolkit
modelscope/ClearerVoice-Studio
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
asteroid-team/asteroid
The PyTorch-based audio source separation toolkit for researchers
coqui-ai/open-speech-corpora
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
maum-ai/voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system
JusperLee/Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
kaituoxu/Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Audio-WestlakeU/FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
anicolson/DeepXi
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
gemengtju/Tutorial_Separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
JusperLee/Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
microsoft/UniSpeech
UniSpeech - Large Scale Self-Supervised Learning for Speech
JusperLee/Dual-Path-RNN-Pytorch
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
double22a/speech_dataset
The dataset of Speech Recognition
funcwj/setk
Tools for Speech Enhancement integrated with Kaldi
posenhuang/deeplearningsourceseparation
Deep Recurrent Neural Networks for Source Separation
speechbrain/speechbrain.github.io
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
seanwood/gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
AppleHolic/source_separation
Deep learning based speech source separation using Pytorch
etzinis/sudo_rm_rf
Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.
aishoot/LSTM_PIT_Speech_Separation
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
tky823/DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
funcwj/conv-tasnet
A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)
eesungkim/Speech_Enhancement_DNN_NMF
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
meokz/looking-to-listen
Deep neural network (DNN) for noise reduction, removal of background music, and speech separation
JusperLee/Looking-to-Listen-at-the-Cocktail-Party
Executable code based on Google articles
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.
funcwj/aps
A personal toolkit for single/multi-channel speech recognition & enhancement & separation.
JusperLee/Deep-Clustering-for-Speech-Separation
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
kaituoxu/TasNet
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
funcwj/deep-clustering
deep clustering method for single-channel speech separation
funcwj/uPIT-for-speech-separation
Speech separation with utterance-level PIT experiments
funcwj/voice-filter
A unofficial Pytorch implementation of Google's VoiceFilter
JusperLee/Calculate-SNR-SDR
Script to calculate SNR and SDR using python
JusperLee/UtterancePIT-Speech-Separation
According to funcwj's uPIT, the training code supporting multi-gpu is written, and the Dataloader is reconstructed.