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Description
  • Combination of different speech recognition systems can be powerful technique to improve recognition performance. The success of these techniques, however, depends on the complementarity of the combined systems. In this paper, a measure of complementarity of different recognition systems is proposed. This measure is based on analysis of similarity of errors made by individual systems. High correlation between the measure and actual performances of combined systems is shown in experiments, which indicatees that the measure can be used to select systems suitable for combination. The measure can be computed very efficiently and it can be used even in situations where exhaustive search looking for the set of system optimal for combination would be infeasible.
  • Combination of different speech recognition systems can be powerful technique to improve recognition performance. The success of these techniques, however, depends on the complementarity of the combined systems. In this paper, a measure of complementarity of different recognition systems is proposed. This measure is based on analysis of similarity of errors made by individual systems. High correlation between the measure and actual performances of combined systems is shown in experiments, which indicatees that the measure can be used to select systems suitable for combination. The measure can be computed very efficiently and it can be used even in situations where exhaustive search looking for the set of system optimal for combination would be infeasible. (en)
  • Měření komplementarity systému rozpoznávání řeči<br> (cs)
Title
  • Measurement of Complementarity of Recognition Systems
  • Measurement of Complementarity of Recognition Systems (en)
  • Měření komplementarity rozpoznávacích systému (cs)
skos:prefLabel
  • Measurement of Complementarity of Recognition Systems
  • Measurement of Complementarity of Recognition Systems (en)
  • Měření komplementarity rozpoznávacích systému (cs)
skos:notation
  • RIV/00216305:26230/04:PU49153!RIV/2005/GA0/262305/N
http://linked.open.../vavai/riv/strany
  • 283-290
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0124)
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
  • 572604
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/04:PU49153
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • speech recognition, system combination, system complementarity, complementarity measure<br> (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [13F642243128]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proc. Seventh International conference on Text, Speech and Dialogue
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
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
  • 3-540-23049-1
http://localhost/t...ganizacniJednotka
  • 26230
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