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Incremental learning and forgetting in incremental stochastic turn-taking models
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0001-9327-9482
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
2011 (English)In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Florence, Italy, 2011, p. 2080-2083Conference paper, Published paper (Refereed)
Abstract [en]

We present a computational framework for stochastically modeling dyad interaction chronograms. The framework's most novel feature is the capacity for incremental learning and forgetting. To showcase its flexibility, we design experiments answering four concrete questions about the systematics of spoken interaction. The results show that: (1) individuals are clearly affected by one another; (2) there is individual variation in interaction strategy; (3) strategies wander in time rather than converge; and (4) individuals exhibit similarity with their interlocutors. We expect the proposed framework to be capable of answering many such questions with little additional effort.

Place, publisher, year, edition, pages
Florence, Italy, 2011. p. 2080-2083
National Category
Computer Sciences Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-52203ISI: 000316502201009Scopus ID: 2-s2.0-84865790016ISBN: 978-1-61839-270-1 (print)OAI: oai:DiVA.org:kth-52203DiVA, id: diva2:465501
Conference
12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011; Florence; Italy; 27 August 2011 through 31 August 2011
Note

tmh_import_11_12_14 QC 20120103

Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2022-06-24Bibliographically approved

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Edlund, Jens

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • 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