Subword-based spoken term detection in audio course lectures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89598" target="_blank" >RIV/00216305:26230/10:PU89598 - 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
Subword-based spoken term detection in audio course lectures
Original language description
This paper investigates spoken term detection (STD) from audio recordings of course lectures obtained from an existing media repository. STD is performed from word lattices generated offline using an automatic speech recognition (ASR) system configured from a meetings domain. An efficient STD approach is presented where lattice paths which are likely to contain search terms are identified and an efficient phone based distance is used to detect the occurrence of search terms in phonetic expansions of promising lattice paths. STD and ASR results are reported for both in-vocabulary (IV) and outof- vocabulary (OOV) search terms in this lecture speech domain.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proc. International Conference on Acoustics, Speech, and Signal Processing
ISBN
978-1-4244-4296-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Signal Processing Society
Place of publication
Dallas
Event location
Dallas
Event date
Mar 14, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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