Fundamentals of Speech Recognition / Edition 1

Fundamentals of Speech Recognition / Edition 1

by Lawrence Rabiner, Biing-Hwang Juang
     
 

ISBN-10: 0130151572

ISBN-13: 9780130151575

Pub. Date: 04/12/1993

Publisher: Prentice Hall

Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern

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Overview

Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern comparison techniques; speech recognition system design and implementation; theory and implementation of hidden Markov models; speech recognition based on connected word models; large vocabulary continuous speech recognition; and task- oriented application of automatic speech recognition. For practicing engineers, scientists, linguists, and programmers interested in speech recognition.

Product Details

ISBN-13:
9780130151575
Publisher:
Prentice Hall
Publication date:
04/12/1993
Series:
Prentice Hall Signal Processing Series
Edition description:
New Edition
Pages:
496
Sales rank:
1,295,980
Product dimensions:
7.00(w) x 9.00(h) x 1.20(d)

Table of Contents

1. Fundamentals of Speech Recognition.
2. The Speech Signal: Production, Perception, and Acoustic-Phonetic Characterization.
3. Signal Processing and Analysis Methods for Speech Recognition.
4. Pattern Comparison Techniques.
5. Speech Recognition System Design and Implementation Issues.
6. Theory and Implementation of Hidden Markov Models.
7. Speech Recognition Based on Connected Word Models.
8. Large Vocabulary Continuous Speech Recognition.
9. Task-Oriented Applications of Automatic Speech Recognition.

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