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Description
  • Applying speech recognition into real working systems, spontaneous speech recognition has increasing importance. So the need of spontaneous speech database is evident and this paper describes the collection of Czech spontaneous data recorded within technical lectures. It should be used as a material for the analysis of particular phenomena which appear within spontaneous speech but also as an extension material for training of spontaneous speech recognizers. Speech signals are captured in two different channels with slightly different quality and about 14 hours of speech from 15 different speakers are currently collected and annotated. The first analyses of spontaneous speech related effects in the collected data have been performed and the comparison with read speech databases is presented.
  • Applying speech recognition into real working systems, spontaneous speech recognition has increasing importance. So the need of spontaneous speech database is evident and this paper describes the collection of Czech spontaneous data recorded within technical lectures. It should be used as a material for the analysis of particular phenomena which appear within spontaneous speech but also as an extension material for training of spontaneous speech recognizers. Speech signals are captured in two different channels with slightly different quality and about 14 hours of speech from 15 different speakers are currently collected and annotated. The first analyses of spontaneous speech related effects in the collected data have been performed and the comparison with read speech databases is presented. (en)
Title
  • Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures
  • Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures (en)
skos:prefLabel
  • Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures
  • Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures (en)
skos:notation
  • RIV/68407700:21230/09:00157409!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0707), P(GD102/08/H008), Z(MSM6840770014)
http://linked.open...iv/cisloPeriodika
  • 2009931057
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
  • 308929
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00157409
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • speech recognition; spontaneous speech; speech corpora; corpora annotation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [5940B0FB939C]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Artificial Intelligence
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...v/svazekPeriodika
  • 5641
http://linked.open...iv/tvurceVysledku
  • Pollák, Petr
  • Rajnoha, Josef
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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