awesome-speech-enhancement

a list of speech frontend, such as speech enhancement\speech seperation\sound source localization

speech seperation

• Tasnet: time-domain audio separation network for real-time, single-channel speech separation [Code]
• Conv-TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation [Code]
• Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation [Code1] [Code2]
• DANet:Deep Attractor Network (DANet) for single-channel speech separation [Code]
• TAC end-to-end microphone permutation and number invariant multi-channel speech separation [Code]
• uPIT-for-speech-separation:Speech separation with utterance-level PIT [Code]
• LSTMPITSpeechSeparation [[Code]](https://github.com/pchao6/LSTMPITSpeechSeparation)

• Deep-Clustering [Code] [Code] [Code]

• asteroid:The PyTorch-based audio source separation toolkit for researchers[PDF][Code]

• sound separation(Google) [Code]

• sound separation: Deep learning based speech source separation using Pytorch [Code]

• ONSSEN: An Open-source Speech Separation and Enhancement Library [Code]

• music-source-separation [Code]

• Singing-Voice-Separation [Code]

• Comparison-of-Blind-Source-Separation-techniques[Code]

• FastICA[Code]

• A localisation- and precedence-based binaural separation algorithm[Download]

• Convolutive Transfer Function Invariant SDR [Code]

speech enhancement

• Collection of papers, datasets and tools on the topic of Speech Dereverberation and Speech Enhancement [Link]
• IRM-based-Speech-Enhancement-using-LSTM [Code]
• nn-irm [Code]
• Speech Enhancement Using a Two-Stage Network for an Efficient Boosting Strategy [Code][PDF]
• SETK: Speech Enhancement Tools integrated with Kaldi [Code]
• sednn:deeplearningforspeechenhancementkeraspython [Code]
• SpeechEnhancementDNNNMF [[Code]](https://github.com/eesungkim/SpeechEnhancementDNNNMF)
• Deep-Learning-for-Speech-Enhancement [Code]
• gcc-nmf:Real-time GCC-NMF Blind Speech Separation and Enhancement [Code]
• TensorFlow-speech-enhancement-Chinese [Code]
• DNN-Speech-enhancement-demo-tool [Code]
• CNN-for-single-channel-speech-enhancement [Code]
• rnn-speech-denoising [Code]
• DNN-SpeechEnhancement [Code]
• seganpytorch [[Code]](https://github.com/santi-pdp/seganpytorch)
• PHASEN[Code]
• TCNSE [Code]
• pbchime5:Speech enhancement system for the CHiME-5 dinner party scenario [[Code]](https://github.com/fgnt/pbchime5)
• A-Convolutional-Recurrent-Neural-Network-for-Real-Time-Speech-Enhancement [Code] [PDF]
• speech enhancement toolkit[Code]

dereverberation

• dereverberation Single-Channel Dereverberation in Matlab [Code]
• speechdereverbarationusinglpresidual Single Channel Speech Dereverbaration using LP Residual [Code]
• dereverberate [Code]
• dereverberation-and-denoising:Supervised Speech Dereverberation in Noisy Environments using Exemplar-based Sparse Representations [Code]
• DNNWPE [[Code]](https://github.com/nttcslab-sp/dnnwpe)
• narawpe:Different implementations of "Weighted Prediction Error" for speech dereverberation [[Code]](https://github.com/fgnt/narawpe)
• Dereverberation-toolkit-for-REVERB-challenge [Code]

array signal processing

• MASP:Microphone Array Speech Processing [Code]
• BeamformingSpeechEnhancer [Code]
• DNNLocalizationAndSeparation [[Code]](https://github.com/shaharhoch/DNNLocalizationAndSeparation)
• nn-gev:Neural network supported GEV beamformerCHiME3 [Code]
• chime4-nn-mask:Implementation of NN based mask estimator in pytorch（reuse some programming from nn-gev）[Code]
• beamformitmatlab:A MATLAB implementation of CHiME4 baseline Beamformit [[Code]](https://github.com/gogyzzz/beamformitmatlab)
• pbchime5:Speech enhancement system for the CHiME-5 dinner party scenario [[Code]](https://github.com/fgnt/pbchime5)
• beamformit:麦克风阵列算法 [Code]

* Beamforming-for-speech-enhancement [Code]

• binauralLocalization [Code]
• robotauditionexamples:Some Robot Audition simplified examples (sound source localization and separation), coded in Octave/Matlab [[Code]](https://github.com/balkce/robotauditionexamples)
• WSCM-MUSIC [Code]
• doa-tools [Code]
• Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks [Code] [PDF]
• messl:Model-based EM Source Separation and Localization [Code]
• messlJsalt15:MESSL wrappers etc for JSALT 2015, including CHiME3 [Code]
• fastsoundsourcelocalizationusingTLSSC:Fast Sound Source Localization Using Two-Level Search Space Clustering [[Code]](https://github.com/LeeTaewoo/fastsoundsourcelocalizationusingTLSSC)
• Binaural-Auditory-Localization-System [Code]
• BinauralLocalization:ITD-based localization of sound sources in complex acoustic environments [[Code]](https://github.com/Hardcorehobel/BinauralLocalization)
• DualChannelBeamformerandPostfilter [Code]
• 麦克风声源定位 [Code]
• RTF-based-LCMV-GSC [Code]
• DOA [Code]

Sound Event Detection

• sedeval - Evaluation toolbox for Sound Event Detection [[Code]](https://github.com/TUT-ARG/sedeval)
• Benchmark for sound event localization task of DCASE 2019 challenge [Code]
• sed-crnn DCASE 2017 real-life sound event detection winning method. [Code]
• seld-net [Code]

tools

• AKtools:the open software toolbox for signal acquisition, processing, and inspection in acoustics [SVN Code](username: aktools; password: ak)
• separationdatapreparation[Code]
• MatlabToolbox [Code]
• athena-signal [[Code]](https://github.com/athena-team/athena-signal）
• pythonspeechfeatures [Code]
• speechFeatures:语音处理，声源定位中的一些基本特征 [Code]
• sap-voicebox [Code]
• Calculate-SNR-SDR [Code]
• RIR-Generator [Code]
• Python library for Room Impulse Response (RIR) simulation with GPU acceleration [Code]
• ROOMSIM:binaural image source simulation [Code]
• binaural-image-source-model [Code]
• PESQ [Code]

reports

• CCF语音对话与听觉专业组语音对话与听觉前沿研讨会[Link]

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