Jeonghwan Choi (suwoncjh)

suwoncjh

Geek Repo

Company:Advanced audio lab. Samsung electronics

Location:Suwon, South Korea

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Jeonghwan Choi's repositories

Acoustic-Feedback-Cancellation

Adaptive Noise Injection based Acoustic Feedback Cancellation

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AcousticSuite

An impulse response measurement tool in MATLAB App Designer.

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allolib_playground

Code playground for allolib

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asteroid

Pytorch-based audio source separation toolkit || Current highlight : the new recipe for Microsoft's DNS Challenge !

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Asynchronous_impulse_response_measurement

Sample code for acoustic impulse response estimation without clock synchronization

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Awesome-Speech-Enhancement

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

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beamformers

Easy to use Beamformers for multi-channel speech separation/enhancement

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CNBF

Complex Neural Beamformer

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digital-signal-processing-lecture

Digital Signal Processing - Theory and Computational Examples

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disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

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dl_signal

Deep Learning Model for Signal Data

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dual-path-RNNs-DPRNNs-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

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FYP

FYP 2020

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jukebox

Code for "Jukebox: A Generative Model for Music"

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MicArrayBeamforming

Microphone Array Beamforming Toolbox

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Multichannel-Enhancement

Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates

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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

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sms_wsj

SMS-WSJ: Spatialized Multi-Speaker Wall Street Journal database for multi-channel source separation and recognition

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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

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Sound_Localization_Algorithms

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

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spatial-VAE

Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019

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TAC

transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

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Tensorflow2-Cookbook

Simple Tensorflow 2.x Cookbook for easy-to-use

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TensorflowTTS

:stuck_out_tongue_closed_eyes: TensorflowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2

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two_step_mask_learning

A two step optimization for sound source separation on the adaptive front-end domain

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