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  • This paper investigates into feature extraction for meeting recognition. Three robust variants of popular HLDA transform are investigated. Influence of adding posterior features to PLP feature stream is studied. The experimental results are obtained on two data-sets: CTS (continuous telephone speech) and meeting data from NIST RT'05 evaluations. Silence-reduced HLDA and LCRC phoneme-state posterior features are found to be suitable for both recognition tasks.<br>
  • This paper investigates into feature extraction for meeting recognition. Three robust variants of popular HLDA transform are investigated. Influence of adding posterior features to PLP feature stream is studied. The experimental results are obtained on two data-sets: CTS (continuous telephone speech) and meeting data from NIST RT'05 evaluations. Silence-reduced HLDA and LCRC phoneme-state posterior features are found to be suitable for both recognition tasks.<br> (en)
Title
  • Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition
  • Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition (en)
skos:prefLabel
  • Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition
  • Robust heteroscedastic linear discriminant analysis and LCRC posterior features in meeting data recognition (en)
skos:notation
  • RIV/00216305:26230/06:PU67004!RIV10-GA0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/0278), P(GP102/06/P383)
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
  • 497767
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/06:PU67004
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • speech recognition, feature extraction, acoustic modeling<br> (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [64F6E8FF968D]
http://linked.open...v/mistoKonaniAkce
  • Washington
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Proc. 3nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006)
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
  • Grézl, František
  • Karafiát, Martin
  • Schwarz, Petr
  • Černocký, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-69267-3
http://localhost/t...ganizacniJednotka
  • 26230
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