Automatic Speech Recognition

A flowchart showing the various steps and stages of the speech recognition process.

Major components in a Speech Recognition System, excerpted from Lecture 1. (Image by James Glass and Victor Zue.)

Instructor(s)

MIT Course Number

6.345

As Taught In

Spring 2003

Level

Graduate

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Course Features

Course Description

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

Glass, James, and Victor Zue. 6.345 Automatic Speech Recognition, Spring 2003. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-345-automatic-speech-recognition-spring-2003 (Accessed). License: Creative Commons BY-NC-SA


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