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  • This paper presents the language identification (LID) system developed in Speech@FIT group at Brno University of Technology (BUT) for&nbsp; NIST 2005 Language Recognition Evaluation. The&nbsp; system consists of two parts: phonotactic and acoustic.&nbsp; Phonotactic system is based on hybrid phoneme recognizers trained on SpeechDat-E<br> database. Phoneme lattices are used to train and test phonotactic language models. Further improvement is obtained by using anti-models. Acoustic system is based on GMM modeling trained&nbsp; under Maximum Mutual Information framework. We describe both parts and provide a discussion of performance on LRE 2005 recognition task.<br> <br>
  • This paper presents the language identification (LID) system developed in Speech@FIT group at Brno University of Technology (BUT) for&nbsp; NIST 2005 Language Recognition Evaluation. The&nbsp; system consists of two parts: phonotactic and acoustic.&nbsp; Phonotactic system is based on hybrid phoneme recognizers trained on SpeechDat-E<br> database. Phoneme lattices are used to train and test phonotactic language models. Further improvement is obtained by using anti-models. Acoustic system is based on GMM modeling trained&nbsp; under Maximum Mutual Information framework. We describe both parts and provide a discussion of performance on LRE 2005 recognition task.<br> <br> (en)
  • Článek popisuje systém pro identifikaci jazyků vytvořený pro NIST 2005 evaluaci.<br> (cs)
Title
  • Brno University of Technology System for NIST 2005 Language Recognition Evaluation
  • Brno University of Technology System for NIST 2005 Language Recognition Evaluation (en)
  • VUT systém pro evaluaci identifikaci jazyků na NIST 2005 (cs)
skos:prefLabel
  • Brno University of Technology System for NIST 2005 Language Recognition Evaluation
  • Brno University of Technology System for NIST 2005 Language Recognition Evaluation (en)
  • VUT systém pro evaluaci identifikaci jazyků na NIST 2005 (cs)
skos:notation
  • RIV/00216305:26230/06:PU66913!RIV08-MSM-26230___
http://linked.open.../vavai/riv/strany
  • 57-64
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/0278), P(LC06008)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 467409
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/06:PU66913
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • PRLM, language identification, language recognition, phonotactic, antimodels, acoustic modeling, disriminative training, maximum mutual information (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7E0315EB19A2]
http://linked.open...v/mistoKonaniAkce
  • San Juan
http://linked.open...i/riv/mistoVydani
  • San Juan
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Odyssey 2006: The Speaker and Language Recognition Workshop
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burget, Lukáš
  • Schwarz, Petr
  • Černocký, Jan
  • Matějka, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 1-4244-0472-X
http://localhost/t...ganizacniJednotka
  • 26230
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