Tongue Part Movement Trajectories for /r/ Using Ultrasound.


Journal

Perspectives of the ASHA special interest groups
ISSN: 2381-4764
Titre abrégé: Perspect ASHA Spec Interest Groups
Pays: United States
ID NLM: 101682248

Informations de publication

Date de publication:
Dec 2019
Historique:
entrez: 12 6 2020
pubmed: 12 6 2020
medline: 12 6 2020
Statut: ppublish

Résumé

Because it shows the movement of different parts of the tongue in real time, ultrasound biofeedback therapy is a promising technology for speech research and remediation. One limitation is the difficulty of interpreting real-time ultrasound images of tongue motion. Our image processing system, TonguePART, tracks the tongue surface and allows for the acquisition of quantitative tongue part trajectories. TonguePART automatically identifies the tongue contour based on ultrasound image brightness and tracks motion of the tongue root, dorsum, and blade in real time. We present tongue part trajectory data from 2 children with residual sound errors on /r/ and 2 children with typical speech, focusing on /r/ (International Phonetic Alphabet ɹ) in the phonetic context /ɑr/. We compared the tongue trajectories to magnetic resonance images of sustained vowel /ɑ/ and /r/. Measured trajectories show larger overall displacement and greater differentiation of tongue part movements for children with typical speech during the production of /ɑr/, compared to children with residual speech sound disorders. TonguePART is a fast, reliable method of tracking articulatory movement of tongue parts for syllables such as /ɑr/. It is extensible to other sounds and phonetic contexts. By tracking tongue parts, clinical researchers can investigate lingual coordination. TonguePART is suitable for real-time data collection and biofeedback. Ultrasound biofeedback therapy users may make more progress using simplified biofeedback of tongue movement.

Identifiants

pubmed: 32524032
doi: 10.1044/2019_pers-19-00064
pmc: PMC7286630
mid: NIHMS1587014
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1644-1652

Subventions

Organisme : NIDCD NIH HHS
ID : R01 DC017301
Pays : United States

Déclaration de conflit d'intérêts

Disclosures Financial: Sarah Dugan has no relevant financial interests to disclose. Sarah R. Li has no relevant financial interests to disclose. Jack Masterson has no relevant financial interests to disclose. Hannah Woeste has no relevant financial interests to disclose. Neeraja Mahalingam has no relevant financial interests to disclose. Caroline Spencer has no relevant financial interests to disclose. T. Douglas Mast has no relevant financial interests to disclose. Michael A. Riley has no relevant financial interests to disclose. Suzanne E. Boyce has no relevant financial interests to disclose. NonFinancial: Sarah Dugan has no relevant nonfinancial interests to disclose. Sarah R. Li has no relevant nonfinancial interests to disclose. Jack Masterson has no relevant nonfinancial interests to disclose. Hannah Woeste has no relevant nonfinancial interests to disclose. Neeraja Mahalingam has no relevant nonfinancial interests to disclose. Caroline Spencer has no relevant nonfinancial interests to disclose. T. Douglas Mast has no relevant nonfinancial interests to disclose. Michael A. Riley has no relevant nonfinancial interests to disclose. Suzanne E. Boyce has no relevant nonfinancial interests to disclose.

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Auteurs

Sarah Dugan (S)

Department of Psychology, University of Cincinnati, OH.

Sarah R Li (SR)

Department of Biomedical Engineering, University of Cincinnati, OH.

Jack Masterson (J)

Department of Biomedical Engineering, University of Cincinnati, OH.

Hannah Woeste (H)

Department of Biomedical Engineering, University of Cincinnati, OH.

Neeraja Mahalingam (N)

Department of Biomedical Engineering, University of Cincinnati, OH.

Caroline Spencer (C)

Department of Communication Sciences and Disorders, University of Cincinnati, OH.

T Douglas Mast (TD)

Department of Biomedical Engineering, University of Cincinnati, OH.

Michael A Riley (MA)

Department of Psychology, University of Cincinnati, OH.

Suzanne E Boyce (SE)

Department of Communication Sciences and Disorders, University of Cincinnati, OH.

Classifications MeSH