Characterizing covert articulation in apraxic speech using real-time MRI

Christina Hagedorn, Michael Proctor, Louis Goldstein, Maria Luisa Gorno Tempini, Shrikanth S. Narayanan

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    ![CDATA[We explore the use of real-time magnetic resonance imaging (rtMRI) as a tool to investigate apraxic speech, in particular, by examining articulatory behavior. Our pilot data reveal that covert (silent) gestural intrusion errors (employing an intrinsically simple 1:1 mode of coupling) are made more frequently by an apraxic subject than by fluent speakers. Covert intrusion errors are also found to be pervasive in non-repetitious apraxic speech. We demonstrate that acoustically silent periods observed before the initiation of apraxic speech oftentimes contain completely covert gestures that occur frequently with multigestural segments. Covert gestures corresponding to entire words are also observed. These data demonstrate that rtMRI can provide important new insights into apraxic speech that are not available using traditional methods of transcription based on acoustic data alone.]]
    Original languageEnglish
    Title of host publicationInterspeech 2012 : Spoken Language Processing and Biomedicine : 13th Annual Conference of the International Speech Communication Association : September 9-13, 2012, Portland, Oregon
    PublisherInternational Speech Communication Association
    Number of pages4
    Publication statusPublished - 2012
    EventInternational Speech Communication Association. Conference -
    Duration: 9 Sept 2012 → …

    Publication series

    Name
    ISSN (Print)1990-9772

    Conference

    ConferenceInternational Speech Communication Association. Conference
    Period9/09/12 → …

    Keywords

    • apraxia
    • articulation
    • magnetic resonance imaging
    • speech

    Fingerprint

    Dive into the research topics of 'Characterizing covert articulation in apraxic speech using real-time MRI'. Together they form a unique fingerprint.

    Cite this