Phonetic Search Methods for Large Speech Databases

  • Ami Moyal
  • Vered Aharonson
  • Ella Tetariy
  • Michal Gishri

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-x
  2. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 1-6
  3. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 7-11
  4. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 13-17
  5. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 19-27
  6. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 29-33
  7. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 35-43
  8. Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
    Pages 45-46
  9. Back Matter
    Pages 47-53

About this book

Introduction

“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.

Keywords

KWS Solutions Keyword Spotting Keyword Spotting Methods Large Speech Databases Phonetic Search Phonetic Search Keyword Spotting

Authors and affiliations

  • Ami Moyal
    • 1
  • Vered Aharonson
    • 2
  • Ella Tetariy
    • 3
  • Michal Gishri
    • 4
  1. 1.Afeka Academic College of EngineeringTel-AvivIsrael
  2. 2.Afeka Academic College of EngineeringTel-AvivIsrael
  3. 3.Afeka Academic College of EngineeringTel-AvivIsrael
  4. 4.Afeka Academic College of EngineeringTel-AvivIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-6489-1
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-6488-4
  • Online ISBN 978-1-4614-6489-1
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book