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Description
  • We explore speaker-specific prosodic modeling for dialog act segmentation of speech from the ICSI Meeting Corpus. We ask whether features beyond pauses help individual speakers, and whether some speakers benefit from prosody models trained on only their speech. We find positive results for both questions, although the second is more complex. Feature analysis reveals that duration is the most used feature type, followed by pause and pitch features. Results also suggest a difference between native and nonnative speakers in feature usage patterns. We conclude that features beyond pauses are useful for dialog act segmentation in natural conversation, and that for some speakers, speaker-specific training yields further gains.
  • We explore speaker-specific prosodic modeling for dialog act segmentation of speech from the ICSI Meeting Corpus. We ask whether features beyond pauses help individual speakers, and whether some speakers benefit from prosody models trained on only their speech. We find positive results for both questions, although the second is more complex. Feature analysis reveals that duration is the most used feature type, followed by pause and pitch features. Results also suggest a difference between native and nonnative speakers in feature usage patterns. We conclude that features beyond pauses are useful for dialog act segmentation in natural conversation, and that for some speakers, speaker-specific training yields further gains. (en)
Title
  • On speaker-specific prosodic models for automatic dialog act segmentation of multi-party meetings
  • On speaker-specific prosodic models for automatic dialog act segmentation of multi-party meetings (en)
skos:prefLabel
  • On speaker-specific prosodic models for automatic dialog act segmentation of multi-party meetings
  • On speaker-specific prosodic models for automatic dialog act segmentation of multi-party meetings (en)
skos:notation
  • RIV/49777513:23520/06:00500994!RIV10-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567)
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
  • 490408
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/06:00500994
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • automatic speech understanding; prosody; multiparty meetings; dialog acts (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CA8B46862D57]
http://linked.open...v/mistoKonaniAkce
  • Pittsburgh
http://linked.open...i/riv/mistoVydani
  • Red Hook, NY
http://linked.open...i/riv/nazevZdroje
  • Interspeech 2006 and 9th International Conference on Spoken Language Processing
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
  • 000269965901241
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Curran Associates, Inc.
https://schema.org/isbn
  • 978-1-60423-449-7
http://localhost/t...ganizacniJednotka
  • 23520
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