6.345J 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.

6.345J will be offered this semester (Spring 2017). It is instructed by V. W. Zue and J. R. Glass.

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

You can find more information on MIT OpenCourseWare at the Automatic Speech Recognition site.

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

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