Visit this resource

Title : 6.345 Automatic Speech Recognition (MIT)

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.

Fromsemester : Spring

Fromyear : 2003

Creator :

Creator :

Date : 2004-08-23T12:21:56+05:00

Relation : 6.345

Language : en-US

Subject : speech recognition

Subject : automatic speech recognition

Subject : acoustic theory

Subject : speech production

Subject : acoustic-phonetics

Subject : signal representation

Subject : pattern classification

Subject : search algorithms

Subject : stochastic modelling

Subject : language modelling

Subject : speaker adaptation

Subject : paralinguistic information

Subject : speech understanding

Subject : multimodal processing

Publisher : MIT OpenCourseWare https://ocw.mit.edu

License : Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm