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squeezenet_demo

srez

Image super-resolution through deep learning

stabilizing_gans

Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"

tac

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

tcn

Sequence modeling benchmarks and temporal convolutional networks

tdoa

TDOA based on GCC-PHAT

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflowandroidmnist

Tensorflow MNIST demo on Android

thesis

Code and extra figures as part of the thesis about Relative transfer function estimation for multi-microphone speech enhancement based on the Kalman filter

threads

Example source code for the article - Java Style Threads Class in C++

ti_sv

Text Independent Speaker Verification Using GE2E Loss

time_domain_speech_enhancement

topsup

答题辅助决策：冲顶大会等答题类游戏

torch_eunn

A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)

tutorials

机器学习相关教程

unsupervised_two_speaker

Unsupervised Two Speaker Separation

untwist_python_for_speechseparation

urlredirector

浏览器通用 URL 重定向插件

urnn

Code for paper "Full-Capacity Unitary Recurrent Neural Networks"

vggfacedataset

下载vgg face dataset的脚本

voice_conversion

voicefilter

Unofficial PyTorch implementation of Google AI's VoiceFilter system

wave-u-net-for-speech-enhancement

Implement [Wave-U-Net](https://arxiv.org/abs/1806.03185) by PyTorch, and migrate it to the speech enhancement area.

webcrawler

webrtc-3

webrtc ns aecm agc vad run on linux

webrtc_agc1

This repository is webrtc agc module demo.

webrtc_apm

webrtc中apm相关代码的提取，包括AEC/NS/AGC/VAD ，另外还包括mp3/aac编码器、SoundTouch

webrtc_voiceengine

This is the Wrapper Library for WebRTC Voice Engine. Including Acoustic Echo Cancellation (AEC), Noise Suppression (NS), VAD (Voice Active Detection) and so on.

wechat_jump_game

微信《跳一跳》Python 辅助

xception-pytorch

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions