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Course Info

  • Course Number / Code:
  • 6.345 (Spring 2003) 
  • Course Title:
  • Automatic Speech Recognition 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Dr. James Glass
    Prof. Victor Zue

  • Course Introduction:

  • 6.345 Automatic Speech Recognition

    Spring 2003

    Course Highlights

    6.345 is a course in the department's "Bioelectrical Engineering" concentration. This course offers a full set of lecture slides with accompanying speech samples, as well as homework assignments and other materials used in the course.

    Course Description

    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.

    Special Features

    Technical Requirements

    Media player software, such as Quicktime® PlayerRealOne™ Player, or Windows Media® Player, is required to run the .wav files found on this course site.

    RealOne™ is a trademark or a registered trademark of RealNetworks, Inc.
    QuickTime® is a trademark of Apple Computer, Inc., registered in the U.S. and other countries.
    Windows Media® is a registered trademark or trademark of Microsoft Corporation in the U.S. and/or other countries.

    *Some translations represent previous versions of courses.


This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.

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