Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech described in https://arxiv.org/abs/2008.04259
git clone -b interspeech2020/master https://github.com/microsoft/DNS-Challenge.git
This repository is tested on Ubuntu 20.04(WSL2)
sudo apt-get install cmake
mkdir bin && cd bin
cmake ..
make -j
cd ..
bin/src/percepNet sampledata/speech/speech.pcm sampledata/noise/noise.pcm 4000 test.output
python3 utils/bin2h5.py test.output training.h5
cd utils
./run.sh
python3 dump_percepnet.py model.pt
cd bin
cmake ..
make -j1
cd ..
bin/src/percepNet_run test_input.pcm percepnet_output.pcm
@jasdasdf, @sTarAnna, @cookcodes, @xyx361100238, @zhangyutf, @TeaPoly, @rameshkunasi, @OscarLiau, @YangangCao, Jaeyoung Yang
https://github.com/wil-j-wil/py_bank
https://github.com/dgaspari/pyrapt