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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. (en)
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 (en)
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 (en)
skos:notation
  • RIV/49777513:23520/07:00500992!RIV10-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(ME 909)
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
  • 451432
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/07:00500992
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • language model adaptation; speaker adaptation; meetings; dialog act segmentation; sentence segmentation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [08DA7CA09E90]
http://linked.open...v/mistoKonaniAkce
  • Antwerp
http://linked.open...i/riv/mistoVydani
  • Red Hook, NY
http://linked.open...i/riv/nazevZdroje
  • 8th Annual Conference of the International Speech Communication Association (Interspeech 2007)
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
  • Kolář, Jáchym
  • Liu, Yang
  • Shriberg, Elizabeth
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000269998601351
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Curran Associates, Inc.
https://schema.org/isbn
  • 978-1-60560-316-2
http://localhost/t...ganizacniJednotka
  • 23520
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