Jeonghwan Choi's repositories
Multi-channel-speech-extraction-using-DNN
A tensorflow implementation of my paper Combining beamforming and deep neural networks for multi-channel speech extraction
Awesome-CUDA
This is a list of useful libraries and resources for CUDA development.
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
BeamformIt
BeamformIt acoustic beamforming software
chime4-nn-mask
Implementation of NN based mask estimator in pytorch
CS231
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
deep-clustering
A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation
Deep-Metric-Learning-CVPR16
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
go-dsp
Digital Signal Processing for Go
latex-hanyang-thesis
(unofficial) Latex Thesis (Dissertation) format at Hanyang University
LaTeX-Paper-Template
A LaTeX template / tutorial
LDA-beamformer
Matlab code for LDA beamforming in EEG/MEG data
mcarray
Library for real-time digital signal processing of microphone array signals. It is based on DSPONE adn WIPP and can perform binarula localisation and masking, as well as multichannel beamforming localisation and source sreparation.
mcse
Multi-channel speech enhancement system (MVDR beamformer + several postfilters)
mic_array
DOA, VAD and KWS for ReSpeaker Microphone Array
parallel_srp-phat_for_gpus
Simple experiment on simulated data
pyfasst
Python implementation of the Flexible Audio Source Separation Toolbox (FASST)
pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
rir_simulator_python
Room impulse response simulator using python
sample-cnn
A TensorFlow implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"
SpeakerRecognition
Implementing speaker recognition using Python (GMM-UBM)
Speech-Enhancement-Using-GSC
To Implement the Generalized Side Lobe Canceller with Fixed Beamformer,parallel blocking matrix and adaptive interference canceller achieved the effective Speech Enhancement.
TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow