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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F07%3A00500992%21RIV10-MSM-23520___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
Dialog act (DA) segmentation in meeting speech is important for meeting understanding. In this paper, we explore speaker adaptation of hidden event language models (LMs) for DA segmentation using the ICSI Meeting Corpus. Speaker adaptation is performed using a linear combination of the generic speakerindependent LM and an LM trained on only the data from individual speakers. We test the method on 20 frequent speakers, on both reference word transcripts and the output of automatic speech recognition. Results indicate improvements for 17 speakers on reference transcripts, and for 15 speakers on automatic transcripts. Overall, the speaker-adapted LM yields statistically significant improvement over the baseline LM for both test conditions. Dialog act (DA) segmentation in meeting speech is important for meeting understanding. In this paper, we explore speaker adaptation of hidden event language models (LMs) for DA segmentation using the ICSI Meeting Corpus. Speaker adaptation is performed using a linear combination of the generic speakerindependent LM and an LM trained on only the data from individual speakers. We test the method on 20 frequent speakers, on both reference word transcripts and the output of automatic speech recognition. Results indicate improvements for 17 speakers on reference transcripts, and for 15 speakers on automatic transcripts. Overall, the speaker-adapted LM yields statistically significant improvement over the baseline LM for both test conditions.
dcterms:title
Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings
skos:prefLabel
Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings Speaker Adaptation of Language Models for Automatic Dialog Act Segmentation of Meetings
skos:notation
RIV/49777513:23520/07:00500992!RIV10-MSM-23520___
n3:aktivita
n11:P
n3:aktivity
P(1M0567), P(ME 909)
n3:dodaniDat
n6:2010
n3:domaciTvurceVysledku
n21:2328372
n3:druhVysledku
n7:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
451432
n3:idVysledku
RIV/49777513:23520/07:00500992
n3:jazykVysledku
n8:eng
n3:klicovaSlova
language model adaptation; speaker adaptation; meetings; dialog act segmentation; sentence segmentation
n3:klicoveSlovo
n4:meetings n4:speaker%20adaptation n4:sentence%20segmentation n4:language%20model%20adaptation n4:dialog%20act%20segmentation
n3:kontrolniKodProRIV
[08DA7CA09E90]
n3:mistoKonaniAkce
Antwerp
n3:mistoVydani
Red Hook, NY
n3:nazevZdroje
8th Annual Conference of the International Speech Communication Association (Interspeech 2007)
n3:obor
n15:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:projekt
n19:ME%20909 n19:1M0567
n3:rokUplatneniVysledku
n6:2007
n3:tvurceVysledku
Kolář, Jáchym Shriberg, Elizabeth Liu, Yang
n3:typAkce
n17:WRD
n3:wos
000269998601351
n3:zahajeniAkce
2007-08-31+02:00
s:numberOfPages
4
n20:hasPublisher
Curran Associates, Inc.
n13:isbn
978-1-60560-316-2
n5:organizacniJednotka
23520