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Related Experiment Video

Updated: Feb 27, 2026

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
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Enhancing Intervention for Residual Rhotic Errors Via App-Delivered Biofeedback: A Case Study.

Tara McAllister Byun1, Heather Campbell1, Helen Carey2

  • 1Steinhardt School of Culture, Education, and Human Development, New York University.

Journal of Speech, Language, and Hearing Research : JSLHR
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Summary

This study shows that an app-based visual-acoustic biofeedback improved speech therapy for residual /r/ errors. However, gains did not generalize to untreated speech contexts.

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Area of Science:

  • Speech-language pathology
  • Bioacoustics
  • Mobile health technology

Background:

  • Residual speech errors, particularly rhotic misarticulation, present a challenge in speech therapy.
  • Visual-acoustic biofeedback shows promise but faces adoption barriers like cost and technology familiarity.

Observation:

  • A case study utilized a not-for-profit iOS application for visual-acoustic biofeedback therapy targeting /r/ errors.
  • Treatment involved weekly 30-minute sessions over 20 weeks, with progress tracked via clinician ratings and acoustic analysis.

Findings:

  • The participant demonstrated significant improvement in /r/ production accuracy during treatment sessions, confirmed by both perceptual and acoustic measures.
  • However, these treatment-induced gains did not generalize to untreated word probes.

Implications:

  • App-based biofeedback offers a cost-effective alternative to traditional systems, demonstrating proof-of-concept for accessible speech therapy.
  • Further research is needed to address the challenge of generalizing treatment gains to non-biofeedback contexts.
  • This technology can foster clinician-research collaborations to build a stronger evidence base for treating speech sound disorders.