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Automatic boost articulation therapy in adults with dysarthria: Acceptability, usability and user interaction
Viviana Mendoza Ramos1,2, Juan C Vasquez-Correa3, Rani Cremers4
1Department of Otorhinolaryngology, Head and Neck Surgery and Communication Disorders, University Hospital of Antwerp, Edegem, Belgium.
This study shows that a virtual articulation therapy (VAT) program is a feasible and well-accepted method to improve speech intelligibility in patients with dysarthria. The system provides intensive, frequent practice and feedback, supporting traditional speech therapy methods.
Area of Science:
- Speech-language pathology
- Computer-assisted therapy
- Acoustic analysis of speech
Background:
- Imprecise articulation significantly impacts speech intelligibility in patients with dysarthria.
- Effective articulation therapy requires intensive, organized practice with adequate feedback, principles of motor learning.
- Current speech therapy is often limited by session time, with scarce automated systems for dysarthria.
Purpose of the Study:
- To assess the feasibility of a virtual articulation therapy (VAT) for dysarthria patients undergoing a boost articulation therapy (BArT) program.
- To evaluate the performance of acoustic models for automatic phonological error detection.
- To validate the VAT system from the end-users' perspective regarding acceptability, usability, and interaction.
Main Methods:
- A VAT system was developed, offering structured exercises, auditory/visual modeling, and automated feedback on speech production.
- Automated methods for phonological error detection were incorporated, specifically designed for Dutch speech.
- Fourteen dysarthria patients evaluated the VAT's acceptability, usability, and interaction after completing two therapy sessions via a questionnaire.
Main Results:
- Participants generally responded positively to the computer-based therapy approach.
- The phonological error detection algorithm demonstrated accuracy, enhancing feedback on utterance production.
- The VAT features a user-friendly interface, enabling independent use by patients with sufficient cognitive, linguistic, motoric, and sensory skills.
Conclusions:
- The initial implementation of automatic BArT is feasible and well-received by end-users.
- The VAT system effectively increases the frequency and intensity of articulation training, complementing traditional therapies.
- The system offers a potential solution to overcome time limitations of face-to-face therapy, providing more accessible and frequent practice.
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