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Automatic Speech Recognition

6.345 · Electrical Engineering and Computer Science · Graduate · Spring 2003

Dr. James Glass, Prof. Victor Zue

MIT · Tier 1

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 s…

EngineeringHumanitiesElectrical EngineeringLinguistics

The syllabus, on MIT OpenCourseWare

The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:

Attribution

Dr. James Glass, Prof. Victor Zue. 6.345 Automatic Speech Recognition. Spring 2003. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.

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