Towards affective state modeling in narrative and conversational settings

Bart Jochems, Martha Larson, Roeland J.F. Ordelman, Ronald Walter Poppe, Khiet Phuong Truong

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)
    98 Downloads (Pure)

    Abstract

    We carry out two studies on affective state modeling for communication settings that involve unilateral intent on the part of one participant (the evoker) to shift the affective state of another participant (the experiencer). The first investigates viewer response in a narrative setting using a corpus of documentaries annotated with viewer-reported narrative peaks. The second investigates affective triggers in a conversational setting using a corpus of recorded interactions, annotated with continuous affective ratings, between a human interlocutor and an emotionally colored agent. In each case, we build a "one-sided" model using indicators derived from the speech of one participant. Our classification experiments confirm the viability of our models and provide insight into useful features.
    Original languageEnglish
    Title of host publicationProceedings of Interspeech 2010
    PublisherInternational Speech Communication Association
    Pages490-493
    Number of pages4
    ISBN (Print)1990-9772
    Publication statusPublished - Sept 2010
    Event11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010 - Makuhari, Chiba, Japan
    Duration: 26 Sept 201030 Sept 2010
    Conference number: 11
    http://www.interspeech2010.jpn.org/

    Publication series

    Name
    PublisherInternational Speech Communication Association (ISCA)
    ISSN (Print)1990-9772

    Conference

    Conference11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010
    Abbreviated titleINTERSPEECH
    Country/TerritoryJapan
    CityMakuhari, Chiba
    Period26/09/1030/09/10
    Internet address

    Keywords

    • METIS-271081
    • IR-74046
    • HMI-SLT: Speech and Language Technology
    • EWI-18625
    • Speech Analysis
    • Affect recognition

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