Fundamentals of Speech Recognition

by Lawrence R. Rabiner, Biing-Hwang Juang

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.

496 pages, Hardcover

First published April 22, 1993

Reviews

[Frank Palardy · Rating 4 out of 5]

This was a useful book for learning speech recognition.

[Onur]

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