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Phonetic Search Methods for Large Speech Databases

  • Book
  • © 2013

Overview

Authors:
  1. Ami Moyal

    1. Afeka Academic College of Engineering, Tel-Aviv, Israel

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  2. Vered Aharonson

    1. Afeka Academic College of Engineering, Tel-Aviv, Israel

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  3. Ella Tetariy

    1. Afeka Academic College of Engineering, Tel-Aviv, Israel

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  4. Michal Gishri

    1. Afeka Academic College of Engineering, Tel-Aviv, Israel

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  • Presents a tutorial-like detailed description of current keyword spotting methodologies
  • Provides a comprehensive comparison of existing KWS methods
  • Places emphasis on efficient methods for keyword spotting that are feasible for real-world applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
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  2. Keyword Spotting Out of Continuous Speech

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 1-6

  3. Keyword Spotting Methods

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 7-11

  4. Phonetic Search

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 13-17

  5. Search Space Complexity Reduction

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 19-27

  6. Evaluating Phonetic Search KWS

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 29-33

  7. Evaluation Results

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 35-43

  8. Summary

    • Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 45-46

  9. Back Matter

    Pages 47-53
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Keywords

About this book

“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.

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)

Authors and Affiliations

  • Afeka Academic College of Engineering, Tel-Aviv, Israel

    Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri

About the authors

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

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