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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F14%3A43922922%21RIV15-MSM-23520___
rdf:type
skos:Concept n16:Vysledek
rdfs:seeAlso
http://link.springer.com/chapter/10.1007/978-3-319-10816-2_47
dcterms: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.
dcterms:title
Inter-Annotator Agreement on Spontaneous Czech Language Inter-Annotator Agreement on Spontaneous Czech Language
skos:prefLabel
Inter-Annotator Agreement on Spontaneous Czech Language Inter-Annotator Agreement on Spontaneous Czech Language
skos:notation
RIV/49777513:23520/14:43922922!RIV15-MSM-23520___
n3:aktivita
n20:S n20:P
n3:aktivity
P(ED1.1.00/02.0090), P(LM2010013), S
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n4:8780943 n4:1880527 n4:2099292 n4:2093057
n3:druhVysledku
n15:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
22346
n3:idVysledku
RIV/49777513:23520/14:43922922
n3:jazykVysledku
n17:eng
n3:klicovaSlova
automatic speech recognition, inter-annotator agreement, accuracy
n3:klicoveSlovo
n8:inter-annotator%20agreement n8:automatic%20speech%20recognition n8:accuracy
n3:kontrolniKodProRIV
[3750C46F7DA7]
n3:mistoKonaniAkce
Brno, Czech Republic
n3:mistoVydani
Heidelberg
n3:nazevZdroje
Text, Speech, and Dialogue, 17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014. Proceedings
n3:obor
n19:JD
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n7:ED1.1.00%2F02.0090 n7:LM2010013
n3:rokUplatneniVysledku
n10:2014
n3:tvurceVysledku
Soutner, Daniel Šmídl, Luboš Švec, Jan Valenta, Tomáš
n3:typAkce
n11:WRD
n3:zahajeniAkce
2014-09-08+02:00
s:issn
0302-9743
s:numberOfPages
8
n21:doi
10.1007/978-3-319-10816-2_47
n22:hasPublisher
Springer-Verlag
n14:isbn
978-3-319-10815-5
n9:organizacniJednotka
23520