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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

  • DOI - Digital Object Identifier

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

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

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • 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