Phonetic Search Methods for Large Speech Databases

Ami Moyal

ISBN 10: 1461464889 / ISBN 13: 9781461464884

Published by Springer New York, Springer US Feb 2013, 2013

About this Item

Neuware -¿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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 64 pp. Englisch.

Seller Inventory # 9781461464884

Bibliographic Details

• Title: Phonetic Search Methods for Large Speech Databases
• Publisher: Springer New York, Springer US Feb 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 1461464889
• ISBN 13: 9781461464884
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

“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.

About the Author

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