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Automatic meeting participant role detection by dialogue patterns
University of Dublin, Trinity College, Ireland.ORCID iD: 0000-0003-3211-6529
2010 (English)In: Development of multimodal interfaces: Active listning and synchrony / [ed] Esposito, A; Campbell, N; Vogel, C; Hussain, A; Nijholt, A, Springer, 2010, Vol. 5967, p. 314-326Conference paper, Published paper (Refereed)
Abstract [en]

We introduce a new concept of ‘Vocalization Horizon’ for automatic speaker role detection in general meeting recordings. We demonstrate that classification accuracy reaches 38.5% when Vocalization Horizon and other features (i.e. vocalization duration and start time) are available. With another type of Horizon, the Pause - Overlap Horizon, the classification accuracy reaches 39.5%. Pauses and overlaps are also useful vocalization features for meeting structure analysis. In our experiments, the Bayesian Network classifier outperforms other classifiers, and is proposed for similar applications.

Place, publisher, year, edition, pages
Springer, 2010. Vol. 5967, p. 314-326
Series
Lecture Notes in Computer Science, ISSN 0302-9743
Keyword [en]
Content-free meeting analysis, speaker role detection, meeting segmentation, multimedia information retrieval
National Category
Computer and Information Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-56970DOI: 10.1007/978-3-642-12397-9_27ISBN: 978-3-642-12396-2 (print)OAI: oai:DiVA.org:kau-56970DiVA: diva2:1120216
Conference
2nd COST 2102 International Training School on Development of Multimodal Interfaces. MAR 23-27, 2009, Dublin, Ireland.
Available from: 2017-07-05 Created: 2017-07-05 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf