Classification of cooperative and competitive overlaps in speech using cues from the context, overlapper, and overlappee

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    Abstract

    One of the major properties of overlapping speech is that it can be perceived as competitive or cooperative. For the development of real-time spoken dialog systems and the analysis of affective and social human behavior in conversations, it is important to (automatically) distinguish between these two types of overlap. We investigate acoustic characteristics of cooperative and competitive overlaps with the aim to develop automatic classifiers for the classification of overlaps. In addition to acoustic features, we also use information from gaze and head movement annotations. Contexts preceding and during the overlap are taken into account, as well as the behaviors of both the overlapper and the overlappee. We compare various feature sets in classification experiments that are performed on the AMI corpus. The best performances obtained lie around 27%–30% EER.
    Original languageUndefined
    Title of host publicationProceedings of the 14th Annual Conference of the International Speech Communication Association, Interspeech 2013
    Place of PublicationBaixas, France
    PublisherInternational Speech Communication Association (ISCA)
    Pages1404-1408
    Number of pages5
    ISBN (Print)2308-457X
    Publication statusPublished - Aug 2013
    Event14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013 - Lyon, France
    Duration: 25 Aug 201329 Aug 2013
    Conference number: 14
    http://www.interspeech2013.org/

    Publication series

    Name
    PublisherInternational Speech Communication Association
    ISSN (Print)2308-457X

    Conference

    Conference14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013
    Abbreviated titleINTERSPEECH
    Country/TerritoryFrance
    CityLyon
    Period25/08/1329/08/13
    Internet address

    Keywords

    • Speech overlap
    • Social Signal Processing
    • IR-89699
    • EWI-24529
    • METIS-302881
    • interruptions

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