6.345[J] Automatic Speech Recognition

Class Info

Introduces the rapidly developing fields of automatic speech recognition and spoken language processing. Topics 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 interspersed with theory and applications. Assignments include problems, laboratory exercises, and a term project. 4 Engineering Design Points.

This class has 6.003, and 6.041 as prerequisites.

6.345[J] will not be offered this semester. It will be instructed by J. R. Glass and V. W. Zue.

This class counts for a total of 12 credits. This is a graduate-level class.

In the Spring 2013 Subject Evaluations, 6.345[J] was rated 5.5 out of 7.0. You can find more information on MIT OpenCourseWare at the Automatic Speech Recognition site.

MIT 6.345[J] Automatic Speech Recognition Related Textbooks
MIT 6.345[J] Automatic Speech Recognition On The Web
Automatic Speech Recognition
algorithms recognition acoustic-phonetic modelling

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