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Description
  • The goal of this article is to show that for some tasks in automatic speech recognition (ASR), especially for recognition of spontaneous telephony speech, the reference annotation differs substantially among human annotators and thus sets the upper bound of the ASR accuracy. In this paper, we focus on the evaluation of the inter-annotator agreement (IAA) and ASR accuracy in the context of imperfect IAA. We evaluated it using a part of our Czech Switchboard-like spontaneous speech corpus called Toll-free calls. This data set was annotated by three different annotators rendering three parallel transcriptions. The results give us additional insights for understanding the ASR accuracy.
  • The goal of this article is to show that for some tasks in automatic speech recognition (ASR), especially for recognition of spontaneous telephony speech, the reference annotation differs substantially among human annotators and thus sets the upper bound of the ASR accuracy. In this paper, we focus on the evaluation of the inter-annotator agreement (IAA) and ASR accuracy in the context of imperfect IAA. We evaluated it using a part of our Czech Switchboard-like spontaneous speech corpus called Toll-free calls. This data set was annotated by three different annotators rendering three parallel transcriptions. The results give us additional insights for understanding the ASR accuracy. (en)
Title
  • Inter-Annotator Agreement on Spontaneous Czech Language
  • Inter-Annotator Agreement on Spontaneous Czech Language (en)
skos:prefLabel
  • Inter-Annotator Agreement on Spontaneous Czech Language
  • Inter-Annotator Agreement on Spontaneous Czech Language (en)
skos:notation
  • RIV/49777513:23520/14:43922922!RIV15-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), P(LM2010013), S
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
  • 22346
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/14:43922922
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • automatic speech recognition, inter-annotator agreement, accuracy (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3750C46F7DA7]
http://linked.open...v/mistoKonaniAkce
  • Brno, Czech Republic
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Text, Speech, and Dialogue, 17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014. Proceedings
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
  • Valenta, Tomáš
  • Šmídl, Luboš
  • Švec, Jan
  • Soutner, Daniel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-10816-2_47
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-319-10815-5
http://localhost/t...ganizacniJednotka
  • 23520
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