6.345/HST.728  Automatic Speech Recognition

Level: Graduate (H-Level)
Prerequisites: 6.001, 6.003, 6.041
Units: 3-1-8

This course introduces students to the rapidly developing field of automatic speech recognition.  Its content is divided into two basic parts.  Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, signal representation, pattern classification, search algorithms, stochastic modeling, and language modeling techniques.  Part II compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modeling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

Course Information