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Description
  • We propose a novel design for acoustic feature-based automatic spoken language recognizers. Our design is inspired by recent advances in text-independent speaker recognition, where intraclass variability is modeled by factor analysis in Gaussian mixture model (GMM) space. We use approximations to GMMlikelihoods which allow variable-length data sequences to be represented as statistics of fixed size. Our experiments on NIST LRE'07 show that variability-compensation of these statistics can reduce error-rates by a factor of three. Finally, we show that further improvements are possible with discriminative logistic regression training.
  • We propose a novel design for acoustic feature-based automatic spoken language recognizers. Our design is inspired by recent advances in text-independent speaker recognition, where intraclass variability is modeled by factor analysis in Gaussian mixture model (GMM) space. We use approximations to GMMlikelihoods which allow variable-length data sequences to be represented as statistics of fixed size. Our experiments on NIST LRE'07 show that variability-compensation of these statistics can reduce error-rates by a factor of three. Finally, we show that further improvements are possible with discriminative logistic regression training. (en)
Title
  • Discriminative Acoustic Language Recognition via Channel-Compensated GMM Statistics
  • Discriminative Acoustic Language Recognition via Channel-Compensated GMM Statistics (en)
skos:prefLabel
  • Discriminative Acoustic Language Recognition via Channel-Compensated GMM Statistics
  • Discriminative Acoustic Language Recognition via Channel-Compensated GMM Statistics (en)
skos:notation
  • RIV/00216305:26230/09:PU82688!RIV10-MV0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0707), P(VD20072010B16)
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
  • 310723
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/09:PU82688
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • acoustic language recognition, intersession variability compensation, discriminative training (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [882A74670C4F]
http://linked.open...v/mistoKonaniAkce
  • Brighton
http://linked.open...i/riv/mistoVydani
  • Brighton
http://linked.open...i/riv/nazevZdroje
  • Proc. Interspeech 2009
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
  • Brümmer, Niko
  • Glembek, Ondřej
  • Matějka, Pavel
  • Hubeika, Valiantsina
  • Strasheim, Albeert
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1990-9772
number of pages
http://purl.org/ne...btex#hasPublisher
  • International Speech Communication Association
http://localhost/t...ganizacniJednotka
  • 26230
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