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Author:   Ami Moyal ,  Vered Aharonson ,  Ella Tetariy ,  Michal Gishri
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   1.241kg
ISBN:  

9781461464884

ISBN 10:   1461464889
Pages:   53
Publication Date:   27 February 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Keyword Spotting out of Continuous Speech.- Introduction.- Problem Formulation: KWS in Large Speech Databases.- Target Applications of Keyword Spotting.- Keyword Spotting Methods.- LVCSR-Based KWS.- Acoustic KWS.- Phonetic Search KWS.- Discussion: Why Phonetic Search?.- Response Time.- KWS Performance.- Keyword Flexibility.- Phonetic Search.- The Search Mechanism.- Using Phonetic Search for KWS.- Computational Complexity Analysis.- Search Space Complexity Reduction.- Overview.- Complexity Reduction in Phonetic Search.- Anchor-based Phonetic Search.- Evaluating Phonetic Search KWS.- Performance Metrics.- Evaluation Process.- Evaluation Databases.- Evaluation Results.- Exhaustive Search. - Textual Benchmark.- KWS on Speech.- Anchor-based Search.- Textual Benchmark.- Reduced Complexity KWS on Speech.- Multiple Thresholds.- Lessons Learned from the Evaluation.- Summary.- Glossary of Acronyms.- References.

Reviews

From the reviews: Three techniques that can implement keyword spotting are described in this brief. ... The text is well written, with frequent references to relevant publications. The techniques and analyses are clearly presented and supported by appropriate diagrams. This brief should be of interest to practitioners in this area. (G. R. Mayforth, Computing Reviews, October, 2013)

From the reviews: Three techniques that can implement keyword spotting are described in this brief. ... The text is well written, with frequent references to relevant publications. The techniques and analyses are clearly presented and supported by appropriate diagrams. This brief should be of interest to practitioners in this area. (G. R. Mayforth, Computing Reviews, October, 2013)

Author Information

Ami Moyal, Vered Aharonson, Ella Tetariy, and Michal Gishri are at the Afeka Center for Language Processing.

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