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dc.contributor.advisorMoore, Elliot
dc.contributor.advisorLaures-Gore, Jacqueline
dc.contributor.authorGillespie, Stephanie Marie
dc.date.accessioned2018-05-31T18:09:12Z
dc.date.available2018-05-31T18:09:12Z
dc.date.created2017-05
dc.date.issued2017-04-06
dc.date.submittedMay 2017
dc.identifier.urihttp://hdl.handle.net/1853/59794
dc.description.abstractThis research analyzed objective vocal acoustic measures of aphasic speech as they related to the detection or prediction of stress, depression, and emotional state in adults with aphasia. Assessing stress and depression in persons living with aphasia is a challenging task, often utilizing caregiver surveys or diagnostic tests which have not been modified for language difficulties. Cepstral Peak Prominence features were found to be most useful when creating an automatic classifier to detect depression. Further analysis of the feature sets suggested many of the features were moderately correlated to changes in short-term affective states. Additionally, the same feature sets used to attempt the detection and prediction of stress and depression were also used to successfully predict the presence of dysarthria in a cross-database analysis. Further work in this area could lead to automated tools to assist clinicians with their diagnoses of stress, depression, and other forms of affect in adults with aphasia.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectAphasia
dc.subjectSpeech processing
dc.subjectVocal acoustic
dc.subjectGlottal features
dc.subjectTeager features
dc.subjectDysarthria
dc.titleAnalysis of affective states from vocal acoustics in adults with aphasia
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentElectrical and Computer Engineering
thesis.degree.levelDoctoral
dc.contributor.committeeMemberClements, Mark
dc.contributor.committeeMemberDavenport, Mark
dc.contributor.committeeMemberBhatti, Pamela
dc.contributor.committeeMemberWalker, Bruce
dc.date.updated2018-05-31T18:09:12Z


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