Therapy Progress Indicator (TPI): Combining speech parameters and the subjective unit of distress

Egon van den Broek, Frans van der Sluis, Ton Dijkstra

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

    4 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    A posttraumatic stress disorder (PTSD) is a severe handicap in daily life and its treatment is complex. To evaluate the success of treatments, an objective and unobtrusive expert system was envisioned: an therapy progress indicator (TPI). Speech was considered as an excellent candidate for providing an objective, unobtrusive emotion measure. Speech of 26 PTSD patients was recorded while they participated in two reliving sessions: re-experiencing their last panic attack and their last joyful occasion. As a subjective measure, the subjective unit of distress was determined, which enabled the validation of derived speech features. A set of parameters of the speech features: signal, power, zero crossing ratio, and pitch, was found to discriminate between the two sessions. A regression model involving these parameters was able to distinguish between positive and negative distress. This model lays the foundation for an TPI for patients with PTSD, which enables objective and unobtrusive evaluations of therapies.
    Original languageEnglish
    Title of host publicationProceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
    EditorsJeffrey Cohn, Anton Nijholt, Maja Pantic
    Place of PublicationLos Alamitos
    PublisherIEEE Computer Society Press
    Pages381-386
    Number of pages6
    Volume1
    ISBN (Print)978-1-4244-4800-5
    DOIs
    Publication statusPublished - 9 Sep 2009
    Event3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - Amsterdam, Netherlands
    Duration: 10 Sep 200912 Sep 2009
    Conference number: 3

    Conference

    Conference3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009
    Abbreviated titleACII
    CountryNetherlands
    CityAmsterdam
    Period10/09/0912/09/09

    Keywords

    • METIS-260129
    • EWI-17149
    • IR-69481

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