Signals and Communication Technology

Hierarchical Neural Network Structures for Phoneme Recognition

Authors: Vasquez, Daniel, Gruhn, Rainer, Minker, Wolfgang

  • Simplifies the analysis in spoken language dialogue systems
  • Investigates hierarchical structures based on neural networks for automatic speech recognition
  • Written for academic and industrial researchers in speech recognition
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eBook $109.00
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  • ISBN 978-3-642-34425-1
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Hardcover $149.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-34424-4
  • Free shipping for individuals worldwide
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Softcover $149.00
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  • ISBN 978-3-642-43210-1
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About this book

In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm. The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP). Additionally, the output of the first level is used as an input for the second level. This system can be substantially speeded up by removing the redundant information contained at the output of the first level.

Reviews

From the reviews:

“This brief book comes packed with useful information about some novel techniques for the recognition of speech building blocks known as phonemes. … it is brimming with useful and well-presented information. I recommend it for graduate students in the field, as well as for practicing professionals.” (Vladimir Botchev, Computing Reviews, May, 2013)

Table of contents (7 chapters)

  • Introduction

    Vasquez, Daniel (et al.)

    Pages 1-6

  • Background in Speech Recognition

    Vasquez, Daniel (et al.)

    Pages 7-30

  • Phoneme Recognition Task

    Vasquez, Daniel (et al.)

    Pages 31-48

  • Hierarchical Approach and Downsampling Schemes

    Vasquez, Daniel (et al.)

    Pages 49-59

  • Extending the Hierarchical Scheme: Inter and Intra Phonetic Information

    Vasquez, Daniel (et al.)

    Pages 61-101

Buy this book

eBook $109.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-3-642-34425-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-34424-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-43210-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Hierarchical Neural Network Structures for Phoneme Recognition
Authors
Series Title
Signals and Communication Technology
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer Berlin Heidelberg
eBook ISBN
978-3-642-34425-1
DOI
10.1007/978-3-642-34425-1
Hardcover ISBN
978-3-642-34424-4
Softcover ISBN
978-3-642-43210-1
Series ISSN
1860-4862
Edition Number
1
Number of Pages
XVIII, 134
Topics