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Phonetic Search Methods for Large Speech Databases

SBECE: PHONETIC SEARCH MTHDS FOR LARGE SPEECH DATABASES

Information Technology

Computing & Information Technology

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B2B GT

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B2B & B2C

“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.

POST SECONDARY FOUR YEAR

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COLSO

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COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Editorial Board.
Editor&#x0027;s Note.
Title Page.
Copyright Page.
Preface.
Acknowledgments.
Contents.
1: Keyword Spotting Out of Continuous Speech.
2: Keyword Spotting Methods.
3: Phonetic Search.
4: Search Space Complexity Reduction.
5: Evaluating Phonetic Search KWS.
6: Evaluation Results.
7: Summary.
Glossary of Acronyms.
References.

Phonetic Search Methods for Large Speech Databases.css-1p8rvzy{position:absolute;padding-left:8px;}

Phonetic Search Methods for Large Speech Databases