Combination of strongly and weakly constrained recognizers for reliable detection of OOVs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU76669" target="_blank" >RIV/00216305:26230/08:PU76669 - 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
Combination of strongly and weakly constrained recognizers for reliable detection of OOVs
Original language description
This paper addresses the detection of OOV segments in the output of large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence measures based on frame-based word- and phone- posteriors are investigated. Substantial improvement was however obtained when posteriors from two systems - strongly constrained (LVCSR) and weakly constrained (phone posterior estimator) were combined. We show that this approach is suitable also for the detection of general recognition errors. All the results are presented on WSJ task with reduced recognition vocabulary. <br>
Czech name
Kombinace silných a slabých rozpoznávačů pro spolehlivé určení OOV slov
Czech description
Popis kombinace silných a slabých rozpoznávačů pro spolehlivé určení OOV slov
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
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)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
ISBN
1-4244-1484-9
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
Las Vegas
Event location
Las Vegas
Event date
Mar 30, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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