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Fundamentals of Speech Recognition by Lawrence R. Rabiner and Biing-Hwang Juang (1993, Trade Paperback)

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About this product

Product Identifiers

PublisherPrentice Hall PTR

ISBN-100130151572

ISBN-139780130151575

eBay Product ID (ePID)38187

Product Key Features

Number of Pages544 Pages

LanguageEnglish

Publication NameFundamentals of Speech Recognition

SubjectSignals & Signal Processing, Computer Vision & Pattern Recognition, Speech & Audio Processing

Publication Year1993

TypeTextbook

Subject AreaComputers, Technology & Engineering

AuthorLawrence R. Rabiner, Biing-Hwang Juang

FormatTrade Paperback

Dimensions

Item Height1.4 in

Item Weight29.8 Oz

Item Length9.1 in

Item Width7 in

Additional Product Features

Edition Number1

Intended AudienceScholarly & Professional

LCCN92-034093

Dewey Edition20

IllustratedYes

Dewey Decimal006.454

Table Of Content1. 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.

SynopsisProvides 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., 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. KEY TOPICS: 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. MARKET: For practicing engineers, scientists, linguists, and programmers interested in speech recognition., Provides a complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine.

LC Classification NumberTK7895.S65R33 1993