About: Benefit of maximum likelihood linear transform (MLLT) used at different levels of covariance matrices clustering in ASR systems     Goto   Sponge   NotDistinct   Permalink

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  • The paper discusses the benefit of a Maximum Likelihood Linear Transform (MLLT) applied on selected groups of covariance matrices. The matrices were chosen and clustered using phonetic knowledge. Results of experiments are compared with outcomes obtained for diagonal and full covariance matrices of a baseline system and also for widely used transforms based on Linear Discriminant Analysis (LDA), Heteroscedastic LDA (HLDA) and Smoothed HLDA (SHLDA).
  • The paper discusses the benefit of a Maximum Likelihood Linear Transform (MLLT) applied on selected groups of covariance matrices. The matrices were chosen and clustered using phonetic knowledge. Results of experiments are compared with outcomes obtained for diagonal and full covariance matrices of a baseline system and also for widely used transforms based on Linear Discriminant Analysis (LDA), Heteroscedastic LDA (HLDA) and Smoothed HLDA (SHLDA). (en)
  • Článek se snaží diskutovat využití Maximálne věrohodné lineární transformace (MLLT) aplikované na vybraných skupinách kovariančních matic. Matice byly shlukovány s využitím fonetické znalosti. Výsledky experimentů jsou porovnány s výsledky získanými na transformacích založených na Lineární diskriminační analýze (LDA), Heterosceadické LDA, a Vyhlazené HLDA (SHLDA). (cs)
Title
  • Benefit of maximum likelihood linear transform (MLLT) used at different levels of covariance matrices clustering in ASR systems
  • Benefit of maximum likelihood linear transform (MLLT) used at different levels of covariance matrices clustering in ASR systems (en)
  • Přínos Maximálně věrohodné lineární transformace (MLLT) použité na různých úrovních shlukování kovariančních matic v ASR systémech (cs)
skos:prefLabel
  • Benefit of maximum likelihood linear transform (MLLT) used at different levels of covariance matrices clustering in ASR systems
  • Benefit of maximum likelihood linear transform (MLLT) used at different levels of covariance matrices clustering in ASR systems (en)
  • Přínos Maximálně věrohodné lineární transformace (MLLT) použité na různých úrovních shlukování kovariančních matic v ASR systémech (cs)
skos:notation
  • RIV/49777513:23520/07:00000043!RIV09-AV0-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1QS101470516), P(GA102/05/0278)
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
  • 411529
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/07:00000043
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Maximum likelihood linear transform; feature space decorrelation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7C74D43712F4]
http://linked.open...v/mistoKonaniAkce
  • Pilsen
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Artificial Intelligence
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
  • Psutka, Josef
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000251315900055
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-74627-0
http://localhost/t...ganizacniJednotka
  • 23520
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