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GRU's Projects

acfdtd.jl icon acfdtd.jl

3D Room Acoustics Finite Difference Time Domain (FDTD) Simulator

adaptivefilters icon adaptivefilters

PULP implementation of adaptive filter algorithms: NLMS, RLS, BlockNLMS, BlockRLS.

adbputty icon adbputty

Putty enhanced with the ability to connect to Android Debug Bridge

adgo icon adgo

TapClick,一款居于Android无障碍服务的自动化点击工具,可用于自动跳过广告,自定关闭弹窗,以及其他的一些自动点击操作,最新版下载地址:https://www.coolapk.com/apk/com.lgh.advertising.going

aec icon aec

Acoustic Echo Cancellation with LMS/RLS (基于LMS/RLS的自适应回声抵消)

aeneas icon aeneas

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

alexa-avs-sample-app icon alexa-avs-sample-app

This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.

alexa-rpi icon alexa-rpi

Sensory WakeWord Engine plug-in for Raspberry Pi

algo icon algo

Collection of problems from algorithm contests

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

androidrecording icon androidrecording

Android Recording library offers convenient tools for audio/video recording and playback

appium icon appium

Cross-platform automation framework for all kinds of your apps built on top of W3C WebDriver protocol

apt-cyg icon apt-cyg

Apt-cyg, an apt-get like tool for Cygwin

asr---word-error-rate-gui icon asr---word-error-rate-gui

This is an interactive GUI where you can enter some ground truth and hypothesis/asr-output to compute the Word Error Rate. It shows the evaluation.

asr-evaluation icon asr-evaluation

Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).

asr-tools icon asr-tools

Libraries and scripts for manipulating and handling ASR output/n-bests/etc.

asr_syllable icon asr_syllable

基于卷积神经网络的语音识别声学模型的研究

asr_theory icon asr_theory

中文语音识别理论,包括研一与研二上学期间所学,论文和PPT

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