The Springer International Series in Engineering and Computer Science

Automatic Speech and Speaker Recognition

Advanced Topics

Editors: Lee, Chin-Hui, Soong, Frank K., Paliwal, Kuldip (Eds.)

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eBook $269.00
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  • ISBN 978-1-4613-1367-0
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Hardcover $339.00
price for USA
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Softcover $339.00
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About this book

Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance.
Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization.
Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.

Table of contents (20 chapters)

  • An Overview of Automatic Speech Recognition

    Rabiner, L. R. (et al.)

    Pages 1-30

  • An Overview of Speaker Recognition Technology

    Furui, Sadaoki

    Pages 31-56

  • Maximum Mutual Information Estimation of Hidden Markov Models

    Normandin, Yves

    Pages 57-81

  • Bayesian Adaptive Learning and Map Estimation of HMM

    Lee, Chin-Hui (et al.)

    Pages 83-107

  • Statistical and Discriminative Methods for Speech Recognition

    Juang, B.-H. (et al.)

    Pages 109-132

Buy this book

eBook $269.00
price for USA (gross)
  • ISBN 978-1-4613-1367-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $339.00
price for USA
  • ISBN 978-0-7923-9706-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-1-4612-8590-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Automatic Speech and Speaker Recognition
Book Subtitle
Advanced Topics
Editors
  • Chin-Hui Lee
  • Frank K. Soong
  • Kuldip Paliwal
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
355
Copyright
1996
Publisher
Springer US
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-1-4613-1367-0
DOI
10.1007/978-1-4613-1367-0
Hardcover ISBN
978-0-7923-9706-9
Softcover ISBN
978-1-4612-8590-8
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XVI, 518
Topics