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Fundamentals of Speech Recognition by Lawrence R. Rabiner and Biing-Hwang Juang (1993, Trade Paperback)
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Author:Juang, Biing-Hwang. Number of Pages:544. World of Books USA was founded in 2005. We all like the idea of saving a bit of cash, so when we found out how many good quality used products are out there - we just had to let you know!
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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
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