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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Phonetic Search Methods for Large Speech Databases

Phonetic Search Methods for Large Speech Databases

Moyal, Ami
Aharonson, Vered
Tetariy, Ella

Paperback

Series: Springerbriefs in Speech Technology

LinguisticsTechnology & EngineeringGeneral Computers

ISBN10: 1461464889
ISBN13: 9781461464884
Publisher: Springer Nature
Published: Feb 27 2013
Pages: 53
Weight: 0.35
Height: 0.30 Width: 5.50 Depth: 8.90
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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