Classification of accurate and misarticulated /ɑr/ for ultrasound biofeedback using tongue part displacement trajectories.

Ultrasound biofeedback therapy (UBT), which incorporates real-time imaging of tongue articulation, has demonstrated generally positive speech remediation outcomes for individuals with residual speech sound disorder (RSSD). However, UBT requires high attentional demands and may therefore benefit from...

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Publicado en:Clinical Linguistics & Phonetics Vol. 37; no. 2; pp. 196 - 223
Autores principales: Li, Sarah R., Dugan, Sarah, Masterson, Jack, Hudepohl, Hannah, Annand, Colin, Spencer, Caroline, Seward, Renee, Riley, Michael A., Boyce, Suzanne, Mast, T. Douglas
Formato: diagnostic images equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd 2023
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        10.1080/02699206.2022.2039777
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        atl: Classification of accurate and misarticulated /ɑr/ for ultrasound biofeedback using tongue part displacement trajectories.
      aug:
        au:
          Li, Sarah R.
          Dugan, Sarah
          Masterson, Jack
          Hudepohl, Hannah
          Annand, Colin
          Spencer, Caroline
          Seward, Renee
          Riley, Michael A.
          Boyce, Suzanne
          Mast, T. Douglas
        affil: Biomedical Engineering, University of Cincinnati, Cincinnati, Ohio, USA
      sug:
        subj:
          Articulation Disorders Therapy
          Tongue Ultrasonography
          Movement Evaluation
          Biofeedback Methods
          Speech Therapy Methods
          Treatment Outcomes Evaluation
          Predictive Value of Tests
          Speech Production Measurement
          Human
          Auditory Perception
          Child
          Comparative Studies
          Support Vector Machine
          Regression
          Funding Source
          Adolescence
          Ohio
          Male
          Female
          Image Processing, Computer Assisted
          Visual Analog Scaling
          Descriptive Statistics
          Factor Analysis
          Machine Learning
          Automation
          Child: 6-12 years
          Adolescent: 13-18 years
          Male
          Female
      ab: Ultrasound biofeedback therapy (UBT), which incorporates real-time imaging of tongue articulation, has demonstrated generally positive speech remediation outcomes for individuals with residual speech sound disorder (RSSD). However, UBT requires high attentional demands and may therefore benefit from a simplified display of articulation targets that are easily interpretable and can be compared to real-time articulation. Identifying such targets requires automatic quantification and analysis of movement features relevant to accurate speech production. Our image-analysis program TonguePART automatically quantifies tongue movement as tongue part displacement trajectories from midsagittal ultrasound videos of the tongue, with real-time capability. The present study uses such displacement trajectories to compare accurate and misarticulated American-English rhotic /ɑr/ productions from 40 children, with degree of accuracy determined by auditory perceptual ratings. To identify relevant features of accurate articulation, support vector machine (SVM) classifiers were trained and evaluated on several candidate data representations. Classification accuracy was up to 85%, indicating that quantification of tongue part displacement trajectories captured tongue articulation characteristics that distinguish accurate from misarticulated production of /ɑr/. Regression models for perceptual ratings were also compared. The simplest data representation that retained high predictive ability, demonstrated by high classification accuracy and strong correlation between observed and predicted ratings, was displacements at the midpoint of /r/ relative to /ɑ/ for the tongue dorsum and blade. This indicates that movements of the dorsum and blade are especially relevant to accurate production of /r/, suggesting that a predictive parameter and biofeedback target based on this data representation may be usable for simplified UBT.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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