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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>
- 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> (en)
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Title
| - Combination of strongly and weakly constrained recognizers for reliable detection of OOVs
- Combination of strongly and weakly constrained recognizers for reliable detection of OOVs (en)
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skos:prefLabel
| - Combination of strongly and weakly constrained recognizers for reliable detection of OOVs
- Combination of strongly and weakly constrained recognizers for reliable detection of OOVs (en)
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skos:notation
| - RIV/00216305:26230/08:PU76669!RIV10-MSM-26230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(GA102/08/0707), P(GP102/06/P383), Z(MSM0021630528)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26230/08:PU76669
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - speech processing, speech recognition, OOV detection, utterance verification<br> (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Burget, Lukáš
- Schwarz, Petr
- Černocký, Jan
- Matějka, Pavel
- Khudanpur, Sanjeev
- Rastrow, Ariya
- Hannemann, Mirko
- Heřmanský, Hynek
- White, Christopher
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - IEEE Signal Processing Society
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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