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Novel Methods for Query Selection and Query Combination in Query-By-Example Spoken Term Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU90563" target="_blank" >RIV/00216305:26230/10:PU90563 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Novel Methods for Query Selection and Query Combination in Query-By-Example Spoken Term Detection

  • Original language description

    Query-by-example (QbE) spoken term detection (STD) is necessary for low-resource scenarios where training material is hardly available and word-based speech recognition systems cannot be employed. We present two novel contributions to QbE STD: the firstintroduces several criteria to select the optimal example used as query throughout the search system. The second presents a novel feature level example combination to construct a more robust query used during the search. Experiments, tested on with-in language and cross-lingual QbE STD setups, show a significant improvement when the query is selected according to an optimal criterion over when the query is selected randomly for both setups and a significant improvement when several examples are combinedto build the input query for the search system compared with the use of the single best example. They also show comparable performance to that of a stateof- the-art acoustic keyword spotting system.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the ACM Multimedia 2010 International Conference

  • ISBN

    978-1-60558-933-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    Florencie

  • Event location

    Florencie

  • Event date

    Oct 25, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article