Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Depression, speech intelligibility, and articulatory coordination.

The Journal of the Acoustical Society of America·2026
Same author

CRoP: Context-wise Robust Static Human-Sensing Personalization.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same author

Online Assessment and Enhancement of Auditory Perception for Residual /ɹ/ Distortions.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Rhotic Generalization Is More Rapid in Biofeedback Than Motor-Based Treatment for Residual Speech Sound Disorder: Secondary Outcomes of a Randomized Controlled Trial.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Perceptual Ratings Predict Speech Inversion Articulatory Kinematics in Childhood Speech Sound Disorders.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

Reliability of Lexical Stress Transcription in Childhood Apraxia of Speech.

American journal of speech-language pathology·2026
Same journal

Variability of Preschool Stuttering During a Day.

American journal of speech-language pathology·2026
Same journal

Facilitators and Barriers to Home Exercise Program Adherence in Aphasia: Speech-Language Pathologists' Perspectives.

American journal of speech-language pathology·2026
Same journal

Interprofessional Education Improves Understanding of Aspiration Pneumonia Risk Factors and Interprofessional Competence Among Dental Hygiene and Speech-Language Pathology Students.

American journal of speech-language pathology·2026
Same journal

Rehabilitation Treatment Specification System: Reliability and Dosage of Common Ingredients in Standard-of-Care Therapy for Vocal Hyperfunction.

American journal of speech-language pathology·2026
Same journal

Question Use in Conversational Discourse Among Individuals With and Without Traumatic Brain Injury.

American journal of speech-language pathology·2026
Same journal

Exploring the Self-Perceived Role of South African Speech-Language Pathologists in Youth Correctional Facilities.

American journal of speech-language pathology·2026
See all related articles

Related Experiment Video

Updated: Jun 15, 2025

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
08:32

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

Published on: January 3, 2017

21.7K

Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study.

Nina R Benway1, Jonathan L Preston2

  • 1Department of Electrical and Computer Engineering, University of Maryland, College Park, MD.

American Journal of Speech-Language Pathology
|August 22, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI)-assisted speech therapy improved rhotic (r-sound) production in individuals with speech sound disorders. This AI tool, ChainingAI, showed significant generalization of /ɹ/ sounds to untreated words, aiding at-home practice.

More Related Videos

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation
12:09

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

19.0K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K

Related Experiment Videos

Last Updated: Jun 15, 2025

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
08:32

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

Published on: January 3, 2017

21.7K
Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation
12:09

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

19.0K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K

Area of Science:

  • Speech-Language Pathology
  • Artificial Intelligence in Healthcare
  • Phonetics and Speech Science

Background:

  • Residual speech sound disorders can impact communication.
  • Intensive speech therapy is often required for improvement.
  • Access to sufficient therapy can be a barrier for many individuals.

Purpose of the Study:

  • To assess the feasibility of an AI-assisted intervention for improving rhotic (/ɹ/) production.
  • To evaluate changes in /ɹ/ production immediately after AI-assisted practice.
  • To compare AI-assisted treatment outcomes against a no-treatment baseline.

Main Methods:

  • A feasibility trial using a multiple-baseline ABA single-case experimental design.
  • Five participants (ages 10-19) with residual /ɹ/ errors participated.
  • ChainingAI, an AI tool, automated drill-based motor learning practice.

Main Results:

  • Listeners perceived significantly more rhoticity after ChainingAI practice compared to before.
  • Three of five participants showed generalization of /ɹ/ to untreated words during treatment.
  • High agreement was found between the AI classifier (PERCEPT-R) and human clinician ratings.

Conclusions:

  • AI-assisted treatment shows promise for improving /ɹ/ production in speech sound disorders.
  • Hybrid AI-clinician models may enhance at-home practice and therapy access.
  • Further development of AI in speech therapy could overcome access barriers.