shincling

shincling

Geek Repo

Company:CASIA / JHU CLSP

Location:Baltimore, MD

Home Page:jshi36@jhu.edu

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shincling's repositories

TDAAv2

The updated version of TDAA model.

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discreteSeparation

The demo for "Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem".

LookingAndListen

Audio-Visual Model for Speech Separation.

MemNN_and_Varieties

Based on end-to-end memory network and some varieties in Chinese

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Deep-Rein4cement

Deep Reinforcement Learning related works.

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MyCommon

Some scripts that I use for common circumstance.

CPP_Test

Some examples for code test in CPP Enviroment.

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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espnet

End-to-End Speech Processing Toolkit

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MemNN

Memory Networks implementations

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AVSync

Audio-vision Sync projects.

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cayman

Cayman is a Jekyll theme for GitHub Pages

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CNN_sentence

CNNs for sentence classification

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ConferencingSpeech2021

Conferencing Speech Challenge

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CrawlerForHupu

A spider based on the Scrap to catch the higglists reply in http://bbs.hupu.com.

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Diffusion-LM

Diffusion-LM with some adpatation over Chinese and downstream applications.

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DL4SS

Deep Learing for Speech Sepration

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DLQA

Qa related works.

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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.

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dotfiles

Dotfiles

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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LSTM-and-Varieties

The use of LSTM model by Theano in NLP ,and sorts of similar varieties

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Matlab_mathProblems

The use of Matlab to solve some math problems .

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MSA

The sence analysis project facing meeting enviroment.

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shincling.github.io

The introduction for "Speaker-Conditional Chain Model for Speech Separation and Extraction" , submitted to INTERSPEECH 2020

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SMCC.github.io

The introduction for "Speaker-Conditional Chain Model for Speech Separation and Extraction" , submitted to INTERSPEECH 2020

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super-productivity

To-do list & time tracker for programmers and other digital workers with Jira, Github, and Gitlab integration

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TensorFlow_Basic

Common usage and test of basic codes on TensorFlow.

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