Voice-Tech-Study

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Voice-Tech-Study

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语音识别语音前端处理语音合成语音转换等等语音技术的资料汇总

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# Video
[哥伦比亚大学ASR课程](http://www.ee.columbia.edu/~stanchen/fall12/e6870/outline.html)

[爱丁堡ASR课程](http://www.inf.ed.ac.uk/teaching/courses/asr/index-2019.html)

[CMU ASR课程](http://www.speech.cs.cmu.edu/15-492/)

[台湾大学数位语音处理](http://ocw.aca.ntu.edu.tw/ntu-ocw/ocw/cou/104S204)

[斯坦福224S](http://web.stanford.edu/class/cs224s/)

[YORK university](https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/start)

[爱丁堡大学Simon King教授语音课](http://www.speech.zone/courses/)

# Book
[剑桥大学的HTK工具包的手册，HTK Book](http://htk.eng.cam.ac.uk/docs/docs.shtml)

Spoken Language Processing: A Guide to Theory, Algorithm and System Development
by Xuedong Huang  (Author), Alex Acero (Author), Hsiao-Wuen Hon (Author)
https://www.amazon.com/Spoken-Language-Processing-Algorithm-Development/dp/0130226165

Fundamentals of Speech Recognition
by Lawrence Rabiner (Author), Biing-Hwang Juang (Author)
https://www.amazon.com/Fundamentals-Speech-Recognition-Lawrence-Rabiner/dp/0130151572

Automatic Speech Recognition: A Deep Learning Approach (Signals and Communication Technology) 2015th Edition
by Dong Yu  (Author), Li Deng  (Author)
https://www.amazon.com/Automatic-Speech-Recognition-Communication-Technology/dp/1447157788

Speech and Language Processing, 2nd Edition
by Daniel Jurafsky (Author), James H. Martin  (Author)
https://www.amazon.com/Speech-Language-Processing-Daniel-Jurafsky/dp/0131873210

Pattern Recognition and Machine Learning (Information Science and Statistics) 
by Christopher M. Bishop  (Author)
https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738

Wangd-kaldi-book
http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Wangd-kaldi-book

解析深度学习：语音识别实践
https://book.douban.com/subject/26820808/

# Toolkit
Kaldi https://github.com/kaldi-asr

Eesen https://github.com/srvk/eesen

CNTK https://github.com/Microsoft/CNTK

# Paper
L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proceedings of the IEEE, vol. 77, no. 2, pp. 257–286, 1989

A. Graves, S. Fern´andez, F. Gomez, and J. Schmidhuber, “Connectionist temporal classiﬁcation: Labelling unsegmented sequence data with recurrent neural networks,” in International Conference on Machine Learning (ICML), ACM, 2006, pp. 369–376.

Reading list from NCMMSC Speech group
http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Reading_list_from_NCMMSC_Speech_group

# Reference
https://www.zhihu.com/question/65516424/answer/232899728
https://www.zhihu.com/question/24342192/answer/225984574
https://www.zhihu.com/question/39701966/answer/88084026
https://www.msra.cn/zh-cn/news/features/book-recommendation-speech
https://cloud.tencent.com/developer/article/1031646
https://book.douban.com/review/8658211/
https://blog.csdn.net/chenghaoy/article/details/82761586
http://ftli.farbox.com/post/automatic-speech-recognition-asr-courses
http://zhaoshuaijiang.com/2019/02/15/end-to-end-asr/
https://antkillerfarm.github.io/speech/2018/04/16/speech.html

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