Novel Methods for Query Selection and Query Combination in Query-By-Example Spoken Term Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU90563" target="_blank" >RIV/00216305:26230/10:PU90563 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Novel Methods for Query Selection and Query Combination in Query-By-Example Spoken Term Detection
Original language description
Query-by-example (QbE) spoken term detection (STD) is necessary for low-resource scenarios where training material is hardly available and word-based speech recognition systems cannot be employed. We present two novel contributions to QbE STD: the firstintroduces several criteria to select the optimal example used as query throughout the search system. The second presents a novel feature level example combination to construct a more robust query used during the search. Experiments, tested on with-in language and cross-lingual QbE STD setups, show a significant improvement when the query is selected according to an optimal criterion over when the query is selected randomly for both setups and a significant improvement when several examples are combinedto build the input query for the search system compared with the use of the single best example. They also show comparable performance to that of a stateof- the-art acoustic keyword spotting system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the ACM Multimedia 2010 International Conference
ISBN
978-1-60558-933-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Association for Computing Machinery
Place of publication
Florencie
Event location
Florencie
Event date
Oct 25, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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