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yangqinyun's Projects
audio
audio algorithm；mvdr；mirophone array beamforming；
awesome-knowledge-distillation
Awesome Knowledge Distillation
beamforming_examples
some Matlab examples of microphone array beamforming
cgmm-mvdr
Implementation of the CGMM-MVDR beamforming (for python version please refer to https://github.com/funcwj/setk)
conferencingspeech2021
Conferencing Speech Challenge
dnn-based_source_separation
A PyTorch implementation of DNN-based source separation.
generalised-side-lobe-canceller
In this project, we implemented a Subband Generalised Sidelobe Canceller(GSC) Beamforming algorithm for suppression of noise interfering with speech signal on ADSP-21262 in real-time environment.
knowledge-distillation
Transfer knowledge from a large DNN or an ensemble of DNNs into a small DNN
libfvad
Voice activity detection (VAD) library, based on WebRTC's VAD engine
mic_array
DOA, VAD and KWS for ReSpeaker Microphone Array
model_compression
Implementation of model compression with knowledge distilling method.
nn-irm
A Simple DNN-IRM estimator for speech enhancement
pyrirgen
pyrir pyrirgen
rir_simulator_python
Room impulse response simulator using python
rnnoise
Recurrent neural network for audio noise reduction
rnnoise-models
Trained neural networks and requisite information and data for rnnoise-nu
rnnoise-windows
This is a RNNoise windows demo. It was modified and restructured so that it can be compiled with MSVC, VS2017, VS2019.
sednn
deep learning based speech enhancement using keras or pytorch, make it easy to use
sound-source-localization-algorithm_doa_estimation
关于语音信号声源定位DOA估计所用的一些传统算法
speech_enhancement_dnn_nmf
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
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, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.
webrtc
Mirror of WebRTC, update everyday. (https://webrtc.googlesource.com/src)
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