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ERIC Number: EJ1162285
Record Type: Journal
Publication Date: 2017-Nov
Pages: 15
Abstractor: As Provided
ISSN: ISSN-1092-4388
Predicting Intelligibility Gains in Individuals with Dysarthria from Baseline Speech Features
Fletcher, Annalise R.; McAuliffe, Megan J.; Lansford, Kaitlin L.; Sinex, Donal G.; Liss, Julie M.
Journal of Speech, Language, and Hearing Research, v60 n11 p3043-3057 Nov 2017
Purpose: Across the treatment literature, behavioral speech modifications have produced variable intelligibility changes in speakers with dysarthria. This study is the first of two articles exploring whether measurements of baseline speech features can predict speakers' responses to these modifications. Method: Fifty speakers (7 older individuals and 43 speakers with dysarthria) read a standard passage in habitual, loud, and slow speaking modes. Eighteen listeners rated how easy the speech samples were to understand. Baseline acoustic measurements of articulation, prosody, and voice quality were collected with perceptual measures of severity. Results: Cues to speak louder and reduce rate did not confer intelligibility benefits to every speaker. The degree to which cues to speak louder improved intelligibility could be predicted by speakers' baseline articulation rates and overall dysarthria severity. Improvements in the slow condition could be predicted by speakers' baseline severity and temporal variability. Speakers with a breathier voice quality tended to perform better in the loud condition than in the slow condition. Conclusions: Assessments of baseline speech features can be used to predict appropriate treatment strategies for speakers with dysarthria. Further development of these assessments could provide the basis for more individualized treatment programs.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A