Phonetic Search Methods for Large Speech Databases

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Phonetic Search Methods for Large Speech Databases by Michal Gishri, Ella Tetariy, Ami Moyal, Vered Aharonson, Springer New York
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Author: Michal Gishri, Ella Tetariy, Ami Moyal, Vered Aharonson ISBN: 9781461464891
Publisher: Springer New York Publication: February 28, 2013
Imprint: Springer Language: English
Author: Michal Gishri, Ella Tetariy, Ami Moyal, Vered Aharonson
ISBN: 9781461464891
Publisher: Springer New York
Publication: February 28, 2013
Imprint: Springer
Language: English

“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.

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“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.

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