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Comparison of retrieval approaches and blind relevance feedback methods within the Czech speech information retrieval

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929802" target="_blank" >RIV/49777513:23520/16:43929802 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-43958-7_21" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-43958-7_21</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-43958-7_21" target="_blank" >10.1007/978-3-319-43958-7_21</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of retrieval approaches and blind relevance feedback methods within the Czech speech information retrieval

  • Original language description

    This article has several objectives. First, it is to compare the most used information retrieval methods on a single speech retrieval collection. The collection, used in the CLEF 2007 Czech task, contains automatically transcribed spontaneous interviews of holocaust survivors and is to our knowledge the only Czech collection of spontaneous speech intended for speech information retrieval. Apart from the first experiments presented in the CLEF competition, no comprehensive experiments have been published on this collection to compare the different information retrieval methods. The second objective of this paper is to compare the results of using the blind relevance feedback methods with the individual retrieval methods and introduce the possibility of using the score normalization methods for the selection of documents for the blind relevance feedback. The third objective of this article is to compare different normalization methods among themselves. Exhaustive experiments were performed for each method and its settings. For all information retrieval methods used, the experiments results showed that the use of score normalization methods significantly improves the achieved retrieval score.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Speech and Computer 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings

  • ISBN

    978-3-319-43957-0

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    182-190

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Budapesť, Maďarsko

  • Event date

    Aug 23, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389335600021