yujiacheng333
SE and CV learner: SE:enhancement, source separation CV:target detection mail:yujiacheng333@qq.com
Beijing University of Posts and TelecommunicationsBeijing
Pinned Repositories
BaseDcLayer
Simple implementation of Decoupled Networks
Blind-Source-Separation-Project-for-audio
A simple platform for video blind source separation
CircleLossMNIST
The loss and decision layer are encapsulated into class, and the usage can refer to the main function.
Conv_TasNet
Conv TaSNet follow work of KaiTuo Xu in TF-keras
CrossIDsystem
DaNet-Tensorflow
Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"
MA-SAC-Discrete
Some Approach to solve Mult-Discrete problem with Soft Actor-Critic Algorithms
Speech-Experiment
整合了说话人识别和语音分离的数据集预处理，模型加载交互（基于TIMIT数据集）
SSD_deepperd
ssd and deep prediction by google's object detection models of mobilenetV2SSD
WGCC_MENUT
GCCPHAT plus for DOA estimation to Match the MENUT frequency band
yujiacheng333's Repositories
yujiacheng333/Speech-Experiment
整合了说话人识别和语音分离的数据集预处理，模型加载交互（基于TIMIT数据集）
yujiacheng333/Conv_TasNet
Conv TaSNet follow work of KaiTuo Xu in TF-keras
yujiacheng333/Blind-Source-Separation-Project-for-audio
A simple platform for video blind source separation
yujiacheng333/BaseDcLayer
Simple implementation of Decoupled Networks
yujiacheng333/DaNet-Tensorflow
Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"
yujiacheng333/SSD_deepperd
ssd and deep prediction by google's object detection models of mobilenetV2SSD
yujiacheng333/WGCC_MENUT
GCCPHAT plus for DOA estimation to Match the MENUT frequency band
yujiacheng333/CircleLossMNIST
The loss and decision layer are encapsulated into class, and the usage can refer to the main function.
yujiacheng333/CrossIDsystem
yujiacheng333/MA-SAC-Discrete
Some Approach to solve Mult-Discrete problem with Soft Actor-Critic Algorithms
yujiacheng333/DNS-Challenge
This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.
yujiacheng333/LearnYoloV3
simple implementation of yoloV3
yujiacheng333/MAU-net-GP-for-speech-enhancemet
yujiacheng333/MVDR-Speech-Enhancement
yujiacheng333/sdfgh
yujiacheng333/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
yujiacheng333/Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
yujiacheng333/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
yujiacheng333/Text_capture_preprocessing
The per_processing of the yibing data in 15,16,17
yujiacheng333/yolov3-tensorflow2
YOLOv3 implementation in TensorFlow 2.0