Overview

“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors’ own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. This brief is useful for researchers and developers in academia and industry from the fields of speech processing and speech recognition, specifically Keyword Spotting.

Full Product Details

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  
We will order this item for you from a manufactured on demand supplier.

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.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions