6.345/HST.728 Automatic Speech Recognition
Spring 2010
Instructors: James R Glass, Victor Zue
TA: Ian McGraw
Lecture: TR 11-12:30pm (32-144)
Information:
Prerequisites: 6.001, 6.003, 6.041 (or
by instructor permission)
This course introduces students to the rapidly developing fields of automatic speech recognition and spoken language processing. Topics covered include acoustic theory of speech production and perception, acoustic-phonetics, signal representation, acoustic and language modeling, search, hidden Markov modeling, robustness, adaptation, discriminative and alternative approaches. Lectures will be interspersed with theory and applications. Assignments include problems, laboratory exercises, and more open-ended challenges.
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