Vanessa-gxl's Stars
common-voice/common-voice
Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
SpeechColab/GigaSpeech
Large, modern dataset for speech recognition
mozilla/DeepSpeech-examples
Examples of how to use or integrate DeepSpeech
kaldi-asr/kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
tzyll/kaldi
yeyupiaoling/MASR
Pytorch实现的流式与非流式的自动语音识别框架,同时兼容在线和离线识别,目前支持Conformer、Squeezeformer、DeepSpeech2模型,支持多种数据增强方法。
Appen/UHV-OTS-Speech
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
tstafylakis/Lipreading-ResNet
Torch code for using Residual Networks with LSTMs for Lipreading
google-research/bert
TensorFlow code and pre-trained models for BERT
Tony1527/playsound
fork from https://github.com/TaylorSMarks/playsound
Uberi/speech_recognition
Speech recognition module for Python, supporting several engines and APIs, online and offline.
DNSun/thchs30-pinyin2tone
thchs30数据集拼音到音素的对应文件
srvk/eesen
The official repository of the Eesen project
Sundy1219/eesen-for-thchs30
ASR for Chinese Mandarin
Mitomzhou/ASRT_SR_tensorflow2.0
基于深度学习识别THCHS30数据集
nl8590687/ASRT_SpeechRecognition
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
espnet/espnet
End-to-End Speech Processing Toolkit
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
liuhuanyong/QASystemOnMedicalKG
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
duterscmy/ccks2019-ckbqa-4th-codes
中文知识库问答代码,CCKS2019 CKBQA评测第四名解决方案
wangle1218/KBQA-for-Diagnosis
Knowledge Graph,Question Answering System,基于知识图谱和向量检索的医疗诊断问答系统
jkszw2014/bert-kbqa-NLPCC2017
A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通)
liuhuanyong/CCKS2018Summary
self summary after attending 2018全国知识图谱与语义计算大会,China Conference on Knowledge Graph and Semantic Computing
liuhuanyong/ComplexEventExtraction
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph,本项目提出了中文复合事件的概念与显式模式,包括条件事件、因果事件、顺承事件、反转事件等事件抽取,并形成事理图谱。