Phonetic Search Methods for Large Speech Databases / SpringerBriefs in Speech Technology (PDF)
(Sprache: Englisch)
"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...
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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.
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.
Autoren-Porträt von Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri
Ami Moyal, Vered Aharonson, Ella Tetariy, and Michal Gishri are at the Afeka Center for Language Processing.
Bibliographische Angaben
- Autoren: Ami Moyal , Vered Aharonson , Ella Tetariy , Michal Gishri
- 2013, 2013, 53 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1461464897
- ISBN-13: 9781461464891
- Erscheinungsdatum: 28.02.2013
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- Größe: 0.94 MB
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Sprache:
Englisch
Pressezitat
From the reviews:“Three techniques that can implement keyword spotting are described in this brief. … The text is well written, with frequent references to relevant publications. The techniques and analyses are clearly presented and supported by appropriate diagrams. This brief should be of interest to practitioners in this area.” (G. R. Mayforth, Computing Reviews, October, 2013)
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