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Description
  • Automatic recognition of a TV commentary accompanying an ice-hockey match is usually a hard task due to the spontaneous speech of a commentator put often into a very loud background noise. Although a vocabulary of an ice-hockey commentary seems to be re latively well limited we show that the lexicon formed by collecting words of 15 ice hockey matches provided by one TV commentator does not sufficiently cover commen- taries of new matches and a high OOV (Out Of Vocabulary) rate brings about many recogni tion problems. To partly alleviate this problem we collected manual transcripts of further 16 matches and designed a knowledge-base adaptation technique ensuring an efficient modification of a recognition lexicon and LM statistics. A suitable adaptation approach was also tested with a goal of adapting a LM to a style of speaking of a new commentator.
  • Automatic recognition of a TV commentary accompanying an ice-hockey match is usually a hard task due to the spontaneous speech of a commentator put often into a very loud background noise. Although a vocabulary of an ice-hockey commentary seems to be re latively well limited we show that the lexicon formed by collecting words of 15 ice hockey matches provided by one TV commentator does not sufficiently cover commen- taries of new matches and a high OOV (Out Of Vocabulary) rate brings about many recogni tion problems. To partly alleviate this problem we collected manual transcripts of further 16 matches and designed a knowledge-base adaptation technique ensuring an efficient modification of a recognition lexicon and LM statistics. A suitable adaptation approach was also tested with a goal of adapting a LM to a style of speaking of a new commentator. (en)
Title
  • Automatic transcription of TV ice-hockey commentary
  • Automatic transcription of TV ice-hockey commentary (en)
skos:prefLabel
  • Automatic transcription of TV ice-hockey commentary
  • Automatic transcription of TV ice-hockey commentary (en)
skos:notation
  • RIV/49777513:23520/03:00000160!RIV/2004/MSM/235204/N
http://linked.open.../vavai/riv/strany
  • 419-423
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LN00A063), Z(MSM 235200004)
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
  • 599359
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/03:00000160
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • continuous speech recognition;corpus collection;class-based language model;spontaneous speech (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C618B23A293A]
http://linked.open...v/mistoKonaniAkce
  • Orlando
http://linked.open...i/riv/mistoVydani
  • Orlando
http://linked.open...i/riv/nazevZdroje
  • Proceedings
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...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Ircing, Pavel
  • Psutka, Josef
  • Hoidekr, Jan
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
  • International Institute of Informatics and Systemics
https://schema.org/isbn
  • 980-6560-01-9
http://localhost/t...ganizacniJednotka
  • 23520
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