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OverviewProvides 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. Full Product DetailsAuthor: Lawrence Rabiner , Biing-Hwang JuangPublisher: Pearson Education (US) Imprint: Prentice Hall Edition: United States ed Dimensions: Width: 18.00cm , Height: 3.00cm , Length: 23.50cm Weight: 0.856kg ISBN: 9780130151575ISBN 10: 0130151572 Pages: 544 Publication Date: 01 May 1993 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Out of Print Availability: In Print  Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of Contents1. 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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