HST.728[J] Automatic Speech Recognition
Introduces the rapidly developing fields of automatic speech recognition and spoken language processing. Topics include acoustic theory of speech production, acoustic-phonetics, signal representation, acoustic and language modeling, search, hidden Markov modeling, neural networks models, adaptation, and other related speech processing topics. Lecture material intersperses theory with practice. Includes problem sets, laboratory exercises, and opened-ended term project.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the MIT Subject Listing & Schedule IAP / Spring 2018 Search Results site.
© Copyright 2015 Yasyf Mohamedali