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Preparing an E-learning-based Speech Therapy (EST) efficacy study: Identifying suitable outcome measures to detect within-subject changes of speech intelligibility in dysarthric speakers
Abstract
We explored the suitability of perceptual and acoustic outcome measures to prepare E-learning based Speech Therapy (EST) efficacy tests regarding speech intelligibility in dysarthric speakers. Eight speakers with stroke (n=3), Parkinson's disease (n=4) and traumatic brain injury (n=1) participated in a 4 weeks EST trial. A repeated measures design was employed. Perceptual measures were (a) scale ratings for "ease of intelligibility" and "pleasantness" in continuous speech and (b) orthographic transcription scores of semantically unpredictable sentences. Acoustic measures were (c) "intensity during closure" (ΔIDC) in the occlusion phase of voiceless plosives, (d) changes in the vowel space of /a/, /e/ and /o/ and (e) the F0 variability in semantically unpredictable sentences. The only consistent finding concerned an increased (instead of the expected decreased) ΔIDC after EST, possibly caused by increased speech intensity without articulatory adjustments. The importance of suitable perceptual and acoustic measures for efficacy research is discussed.
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The study expands traditional behavioral speech therapy into a digital format using a smartphone-based app.
“Our study expands traditional behavioral speech therapy into a digital format using a smartphone-based app [58-61].”
From Smartphone-Based Speech Therapy for Poststroke Dysarthria: Pilot Randomized Controlled Trial Evaluating Efficacy and Feasibility (2024) · cites this paper as [61]
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Kim, Y., Kim, M., Kim, J., & Song, T.-J. (2024) · Journal of Medical Internet Research · doi:10.2196/56417 · Cited by 20
“Our study expands traditional behavioral speech therapy into a digital format using a smartphone-based app [58-61].”
Considerations on Effective Feedback in Computerized Speech Training for Dysarthric Speakers
Bakker, M., Beijer, L., & Rietveld, T. (2019) · Telemedicine and e-Health · doi:10.1089/tmj.2018.0050 · Cited by 13
Self-citation
Metadata
- Authors
- Beijer, L. J., Rietveld, A. C. M., Ruiter, M. B., & Geurts, A. C. H.
- Affiliations
- Sint Maartenskliniek (NL)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Corresponding author
- Beijer, L. J.
- Venue
- Clinical Linguistics & Phonetics
- Publisher
- Informa UK Limited
- Published
- 2014-07-15
- Volume
- 28
- Issue
- 12
- Pages
- 927-950
- ISSN
- 0269-9206 (ISSN-L)
- 1464-5076
- OpenAlex
- W2127678189
- Cited by
- 18
- References
- 2
- Citations by year
- 2026: 1 · 2024: 1 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 2 · 2016: 4 · 2015: 3
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Linguistics & Phonetics (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- dysarthria, speech intelligibility, outcome measures, stroke, Parkinson's disease, traumatic brain injury, perceptual ratings, acoustic analysis, voiceless plosives, vowel space, fundamental frequency variability, orthographic transcription
- MeSH terms
- Adult, Aged, Brain Injuries, Dysarthria, Humans, Male, Middle Aged, Parkinson Disease, Phonetics, Semantics, Speech Acoustics, Speech Intelligibility, Speech Production Measurement, Speech Therapy, Therapy, Computer-Assisted, Stroke
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