About this trial
Speech Sound Disorder (SSD) affects a significant portion of school-aged children, leading to social and emotional challenges that can persist into adolescence and adulthood. The number of productions necessary for a remediated speech sound to generalize to connected speech is challenging to achieve in practice, leading clinicians to call for accessible, reliable resources allowing children to continue therapy outside of direct clinical interactions. Artificial intelligence (AI) tools hold promise as a means to extend direct service delivery in speech-language pathology, but research investigating the topic has been limited. This study (Generalization with AI Navigation using staRt, or GAINS) will measure the effects of a course of AI-mediated home practice intended to promote generalization of gains made through biofeedback treatment in a related study, Visual-acoustic Intervention with Service Delivery In-person and Via Telepractice Trial (VISIT; NCT06517225).
Eligibility criteria
Qualifiers
• Must be between 9;0 and 17;11 (years;months) old at the time of enrollment.
Must speak English as the dominant or equally dominant language
Must have begun learning English by age 3, per parent report.
Must hear a rhotic dialect of English from at least one speaker in the home if the home language is English.
Disqualifiers
• Must not exhibit voice or fluency disorder of a severity judged likely to interfere with the ability to participate in study activities.
Must not currently have orthodontia that crosses the palate and cannot be removed.
Must not have history of permanent hearing loss.
Must not have an existing diagnosis of developmental disability such as cerebral palsy or Down Syndrome.
Trial design
Treatments tested in this trial
- AI-guided maintenance training with visual-acoustic biofeedback
- Treatment as Usual (TAU)
Treatment groups
Sponsors and collaborators
New York University
Lead sponsor
Syracuse University
Collaborator
Montclair State University
Collaborator