Analysis of affective states from vocal acoustics in adults with aphasia

Aphasia;Speech processing;Vocal acoustic;Glottal features;Teager features;Dysarthria

Gillespie, Stephanie Marie ; Moore, Elliot Laures-Gore, Jacqueline Electrical and Computer Engineering Clements, Mark Davenport, Mark Bhatti, Pamela Walker, Bruce ; Moore, Elliot

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Aphasia;    Speech processing;    Vocal acoustic;    Glottal features;    Teager features;    Dysarthria;   

Others  :  https://smartech.gatech.edu/bitstream/1853/59794/1/GILLESPIE-DISSERTATION-2017.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

This 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.