ArticleFrontiers in human neuroscience2025
An acoustic model of speech dysprosody in patients with Parkinson's disease.
Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Automatic Speech Recognition and Acoustic Analysis for Dysarthria Assessment in Telerehabilitation: User-Centered Design and Usability Study.JMIR formative research · 2026Article
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Abstract
Purpose: This study aimed to determine the acoustic properties most indicative of dysprosody severity in patients with Parkinson's disease using an automated acoustic assessment procedure. Method: A total of 108 read speech recordings of 68 speakers with PD (45 male, 23 female, aged 65.0 ± 9.8 yea Results: The acoustic predictors of importance spanned several acoustic domains of prosodic relevance, with the variability in Conclusion: Human expert raters' assessments of dysprosody can be approximated by the automated procedure, affording application in clinical settings where an experienced expert is unavailable. Variability in pitch does not adequately describe the level of dysprosody due to Parkinson's disease.
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