ArticleJournal of speech, language, and hearing research : JSLHR2017
Predicting Intelligibility Gains in Individuals With Dysarthria From Baseline Speech Features.
Article in Journal of speech, language, and hearing research : JSLHR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- Variable Speech Cueing Effects in Talkers With Parkinson's Disease.American journal of speech-language pathology · 2026Article
- Rephrasing Messages on Demand: Effects on Speech Production in Parkinson's Disease.American journal of speech-language pathology · 2025Article
- Contributions of Speech Timing and Articulatory Precision to Listener Perceptions of Intelligibility and Naturalness in Parkinson's Disease.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Effects of speech rate modifications on phonatory acoustic outcomes in Parkinson's disease.Frontiers in human neuroscience · 2024Article
- The combination of accent method and phonemic contrast: an innovative strategy to improve speech production on post-stroke dysarthria.Frontiers in human neuroscience · 2023Article
- The Reliability and Validity of Speech-Language Pathologists' Estimations of Intelligibility in Dysarthria.Brain sciences · 2022Article
- Intelligibility Across a Reading Passage: The Effect of Dysarthria and Cued Speaking Styles.American journal of speech-language pathology · 2022Article
- Investigating Acoustic Correlates of Intelligibility Gains and Losses During Slowed Speech: A Hybridization Approach.American journal of speech-language pathology · 2021Article
- Longitudinal Growth in Single Word Intelligibility Among Children With Cerebral Palsy From 24 to 96 Months of Age: Predicting Later Outcomes From Early Speech Production.Journal of speech, language, and hearing research : JSLHR · 2019Observational
- Data-Driven Classification of Dysarthria Profiles in Children With Cerebral Palsy.Journal of speech, language, and hearing research : JSLHR · 2018Article
- SMARTer Approach to Personalizing Intervention for Children With Autism Spectrum Disorder.Journal of speech, language, and hearing research : JSLHR · 2018Review
- Predicting Intelligibility Gains in Dysarthria Through Automated Speech Feature Analysis.Journal of speech, language, and hearing research : JSLHR · 2017Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
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. Methods: 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.