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Description
  • In Hidden Markov models, speech data are modeled by Gaussian distributions. In this paper, we propose to Gaussianize the features to better fit to this modeling. A distribution of the data is estimated and a transform function is derived. We test three methods of the transform estimation (global, speaker based, frame based) and report results on the SPINE 2000 task with Sphinx recognizer. We conclude that the proposed method is a cheap way to increase the recognition accuracy.
  • In Hidden Markov models, speech data are modeled by Gaussian distributions. In this paper, we propose to Gaussianize the features to better fit to this modeling. A distribution of the data is estimated and a transform function is derived. We test three methods of the transform estimation (global, speaker based, frame based) and report results on the SPINE 2000 task with Sphinx recognizer. We conclude that the proposed method is a cheap way to increase the recognition accuracy. (en)
Title
  • Data adaptation for Hidden Markov Model in speech recognition
  • Data adaptation for Hidden Markov Model in speech recognition (en)
skos:prefLabel
  • Data adaptation for Hidden Markov Model in speech recognition
  • Data adaptation for Hidden Markov Model in speech recognition (en)
skos:notation
  • RIV/00216305:26220/02:PU28123!RIV/2003/MSM/262203/N
http://linked.open.../vavai/riv/strany
  • 317-320
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 262200011)
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
  • 642207
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/02:PU28123
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • speaker speach recognition gaussianization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [35381963D376]
http://linked.open...v/mistoKonaniAkce
  • FEKT VUT Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 8th Conference STUDENT EEICT 2002
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sigmund, Milan
  • Černocký, Jan
  • Matějka, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 80-214-2116-9
http://localhost/t...ganizacniJednotka
  • 26220
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