AI-Assisted Treatment for Residual Speech Sound Disorders

Part of paid clinical trials in Syracuse, New York.

Sponsor
Syracuse University
Study ID
NCT05988515
Status
Recruiting
Apply to this trial

Conditions

  • Speech Sound Disorder

Eligibility Criteria

Sex
ALL
Age
9 Years - 17 Years
Healthy Volunteers
Accepted

Interventions

  • Speech-Language Pathologist-led Speech Motor Chaining — BEHAVIORAL
    Sessions begin with Pre-practice to elicit the /r/ sound. During Structured Practice, the same utterance is practiced several times in a row (with systematic increases in difficulty based on performance). Our web-based software manipulates the principles of motor learning, including feedback prompts for the clinician, the complexity of the utterance, and the variability in the practice trial; the software will analyze the clinician's rating to increase the difficulty of practice when the child is more accurate. Randomized Practice will also be guided by the software and includes all linguistic levels that were produced correctly during Structured Practice, with items presented in random order. A trained speech-language pathologist is involved in all practice trials to provide feedback throughout the session.
  • Artificial Intelligence-led Speech Motor Chaining (CHAINING-AI) — BEHAVIORAL
    Sessions include Structured Practice and Randomized Practice using our web-based software with an Artificial Intelligence clinician to address the /r/ sound. Within a practice session, participants speak into a microphone, and the audio file is sent to a server to be analyzed by a classifier, which returns a binary accurate/inaccurate rating of productions in a fashion similar to SLP judgment. Our web-based software manipulates the principles of motor learning, including feedback prompts, the complexity of the utterance, and the variability in the practice trial. The software will analyze the child's accuracy as determined by the classifier to increase the difficulty of practice when the child is more accurate.

Study Details

The goal of this randomized-controlled trial is to determine how artificial intelligence-assisted home practice may enhance speech learning of the "r" sound in school-age children with residual speech sound disorders. All child participants will receive 1 speech lesson per week, via telepractice, for 5 weeks with a human speech-language clinician. Some participants will receive 3 speech sessions per week with an Artificial Intelligence (AI)-clinician during the same 5 weeks as the human clinician sessions (CONCURRENT treatment order group), whereas others will receive 3 speech sessions per week with an AI-clinician after the human clinician sessions end (SEQUENTIAL treatment order group.

Key Dates

Start date
Sep 5, 2024
Status verified
Jan 2026
Primary completion
Dec 31, 2027
Completion
Dec 31, 2027

Study Design

Enrollment
26 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT

Arms

  • Experimental: CONCURRENT treatment order
    * 5 speech lessons with a human speech-language clinician: 1 time per week for 5 weeks. * 15 speech lessons with an AI clinician (supervised by the caregiver), 3 times per week DURING the same 5 weeks as the human clinician sessions.
  • Experimental: SEQUENTIAL treatment order
    * 5 speech lessons with a human speech-language clinician: 1 time per week for 5 weeks. * 15 speech lessons with an AI clinician (supervised by the caregiver), 3 times per week for the 5 weeks AFTER the human clinician sessions end.

Primary Outcome Measure

Change in percent correct for the /ɹ/ sound in untreated words, rated by blinded listeners. [ Time Frame: Before the initiation of treatment and again 5 weeks later. ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Syracuse UniversitySyracuseNew York13244
Jonathan Preston, PhD
[email protected]
315-443-3143
Nicole Caballero, MS
[email protected]
315-443-1185

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By research site
Syracuse University· Syracuse, NY

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