MTU Cork Library Catalogue

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Fundamentals of speech recognition / Lawrence Rabiner, Biing-Hwang Juang.

By: Rabiner, Lawrence R, 1943-.
Contributor(s): Juang, B. H. (Biing-Hwang).
Material type: materialTypeLabelBookSeries: Prentice-Hall signal processing series.Publisher: Englewood Cliffs, NJ : PTR Prentice Hall, 1993Description: xxxv, 507 p. : ill. ; 25 cm.ISBN: 0130151572.Subject(s): Automatic speech recognition | Speech processing systemsDDC classification: 006.454
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Store Item 006.454 (Browse shelf(Opens below)) 1 Available 00014168
Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references and index.

Table of contents provided by Syndetics

  • 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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