PCA-based Feature Extraction for Phonotactic Language Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89602" target="_blank" >RIV/00216305:26230/10:PU89602 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
PCA-based Feature Extraction for Phonotactic Language Recognition
Original language description
Phonotactic language recognition is one of major techniques used for automatic recognition of spoken languages. We propose a feature extraction technique based on PCA to be used with SVM-based systems. This technique improves speed of the training, in some cases more than 1000 times, allowing systems to be effectively trained on much larger data sets. Speed-up of the test phase can be even greater, which makes the resulting systems much more useful for processing large amounts of data. We report our results on NIST LRE 2009 task.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop
ISBN
978-80-214-4114-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
International Speech Communication Association
Place of publication
Brno
Event location
Brno, Czech Republic
Event date
Jun 28, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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