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(2) In future presentations of the research findings, in addition to the course project website and public presentations, your real name and personal information will not appear in this research report. If you are interested in the research results, we can provide you with an executive summary after the study is completed.
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Uedu Open / Automatic Speech Recognition
6.345

Automatic Speech Recognition

Dr. James Glass, Prof. Victor Zue | Spring 2003
Engineering Electrical Engineering Humanities Linguistics Signal Processing
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CC BY-NC-SA 4.0
課程簡介
6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.
Course Information
SourceMIT 開放式課程
科系Electrical Engineering and Computer Science
LanguageEnglish
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