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Emulating Human Speech Recognition: A Scene Analysis Approach to Improving Robustness in Automatic Speech Recognition
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Authors: Andre Coy (University of West Indies, Mona, Jamaica) 
Book Description:
This new book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene analysis. Inspired by human auditory perception, this book investigates a range of algorithms and techniques for decomposing multiple speech signals by integrating a spectro-temporal fragment decoder within a statistical search process. The outcome is a comprehensive insight into the mechanisms required if automatic speech recognition is to approach human levels of performance. (Imprint: Nova Press)

Table of Contents:
Foreword

1. Introduction pp.1-6

2. The Scene Analysis Approach to Robust Automatic Speech pp.7-24

3. Speech Fragment Decoding pp.25-44

4. Multiple Pitch Determination pp.45-70

5. Multiple Pitch Tracking pp.71-94

6. Voiced Speech Segmentation pp.95-116

7. Unvoiced Speech Segmentation pp.117-134

8. Full System Evaluation pp.135-162

9. Conclusion pp.163-192

Index pp.193-195

   Series:
      Computer Science, Technology and Applications
   Binding: Hardcover
   Pub. Date: 2011
   Pages: 195.pp
   ISBN: 978-1-61209-228-7
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Emulating Human Speech Recognition: A Scene Analysis Approach to Improving Robustness in Automatic Speech Recognition