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dc.contributor.authorCAMPBELL, NICK
dc.contributor.editorISCAen
dc.date.accessioned2010-05-13T15:27:30Z
dc.date.available2010-05-13T15:27:30Z
dc.date.createdSep-09en
dc.date.issued2009
dc.date.submitted2009en
dc.identifier.citationNick Campbell, An Audio-Visual Approach to Measuring Discourse Synchrony in Multimodal Conversation Data, Interspeech 2009, Brighton, England, September 2009, ISCA, 2009en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/39517
dc.descriptionPUBLISHEDen
dc.description.abstractThis paper describes recent work on the automatic extraction of visual and audio parameters relating to the detection of synchrony in discourse, and to the modelling of active listening for advanced speech technology. It reports findings based on image processing that reliably identify the strong entrainment between members of a group conversation, and describes techniques for the extraction and analysis of such information.en
dc.language.isoenen
dc.publisherISCAen
dc.rightsYen
dc.subjectdiscourse interactionen
dc.subjectactive listeningen
dc.subjectimage and audio processingen
dc.subjectconversationen
dc.titleAn Audio-Visual Approach to Measuring Discourse Synchrony in Multimodal Conversation Dataen
dc.typeConference Paperen
dc.contributor.sponsorScience Foundation Ireland
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/nick
dc.identifier.rssinternalid66192
dc.identifier.rssurihttp://www.interspeech2009.org/en


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