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Explore the identification of stress in dysarthric speech compared to healthy controls through listener identification and machine classification. Results show high accuracy rates with potential implications for communication aids. Future directions include further investigation of prosodic control in various speech tasks.
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Identification of Stress Placement in Speakers with and without Dysarthria Pamela Campellone Thomas DiCicco Rupal Patel
Background • Traditional research focus in dysarthria due to CP: Articulation • More recent research: Prosody • Acoustic findings: Preserved prosodic control at vowel & word level
Background • Are acoustic signals consistent and reliable? • Can humans and/or machines make use of these signals? • If prosody is a strength, can it be harnessed to improve segmental clarity?
Research Questions • Can listeners identify stress within phrases produced by speakers with dysarthria & age-gender matched healthy controls? • How accurate is machine classification of prosodic contrasts?
Method • Spoken database: 12 speakers with dysarthria (DYS) & 12 healthy controls (HC) • 5 phrases (4 monosyllabic words) produced with stress on 1 of the 4 words or neutrally • 48 monolingual speakers of American English served as listeners • 4 listeners per DYS-HC speaker pair
Machine Classification • HC & DYS words classified as stressed vs. unstressed • HC accuracy: 98.1% • DYS accuracy: 97.4% • Separate combinations of duration, intensity, & F0 used to determine which were most predictive
Conclusions • Unfamiliar listeners & machine classifier both highly accurate • Communicative potential of prosody • Clinically: scaffolding for improved intelligibility • Application: communication aids which utilize prosodic variation
Future Directions • Examine productions of speakers with varying etiologies of DYS • Differences in acquired vs. congenital? • Assess prosodic control in more varied speech tasks • Design comprehensive interventions incorporating speaker and listener variables