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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
