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Phonetic Search Methods for Large Speech Databases by Ami Moyal
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Phonetic Search Methods for Large Speech Databases

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Description

“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.

Author Biography:

Ami Moyal, Vered Aharonson, Ella Tetariy, and Michal Gishri are at the Afeka Center for Language Processing.
Release date Australia
February 27th, 2013
Audience
  • Professional & Vocational
Illustrations
6 Illustrations, color; 15 Illustrations, black and white; X, 53 p. 21 illus., 6 illus. in color.
Pages
53
Dimensions
155x235x8
ISBN-13
9781461464884
Product ID
21048726

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