AI-Assisted Treatment for Residual Speech Sound Disorders
NCT ID: NCT05988515
Last Updated: 2026-01-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
26 participants
INTERVENTIONAL
2024-09-05
2027-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
Participants randomized to receive CONCURRENT treatment will receive speech lessons with a human clinician once per week for five weeks, along with 3 sessions per week of parent-supervised Chaining-AI (15 Chaining-AI sessions). Therefore, clinician-led and Chaining-AI are completed concurrently.
Participants randomized to receive SEQUENTIAL treatment will receive speech lessons with a human clinician once per week for five weeks, followed by three sessions per week of parent-supervised Chaining-AI for the NEXT five weeks. Therefore, clinician-led and Chaining-AI are completed sequentially.
TREATMENT
SINGLE
Study Groups
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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.
Speech-Language Pathologist-led Speech Motor Chaining
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)
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.
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.
Speech-Language Pathologist-led Speech Motor Chaining
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)
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.
Interventions
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Speech-Language Pathologist-led Speech Motor Chaining
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)
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.
Eligibility Criteria
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Inclusion Criteria
* Must have begun learning English by at least the age of 3 years.
* Must be between 9;0 to 17;11 years of age.
* Must have reported difficulty with /ɹ/ production.
* Must have reported hearing within normal limits.
* Must receive a Scaled Score of 5 or above on both the Listening Comprehension and Story Retelling subtests from the Test of Integrated Language \& Literacy Skills (TILLS).
* Must receive a percentile score of 8 or below on the Goldman-Fristoe Test of Articulation-3 (GFTA-3) Sounds in Words subtest.
* Must have 1 scorable response with 5+ consecutive correct /pataka/ with \> 3.4 syllables per second in the MRR-Tri task of the Maximum Performance Tasks OR must demonstrate no childhood apraxia of speech (CAS-only) features in BOTH articulatory and rate/prosody domains of the ProCAD.
* Must score \<40% accurate based on word-level items from our /ɹ/ probe list.
* Must score \>=15% accuracy on /ɹ/ on 45 syllables following Dynamic Assessment.
* Must express interest in changing their /ɹ/ production.
* Must have oral structure and function that are appropriate for /ɹ/ production.
* Must have access to broadband internet with videoconferencing capabilities
Exclusion Criteria
* Must not have diagnosis of attention deficit disorder, attention deficit hyperactivity disorder, Tourette's, or Obsessive-compulsive disorder.
* Must have no orthodontic appliances that block the roof of the mouth (e.g., palate expanders).
* Must not have current cleft palate, fluency disorder, or voice disorder.
* Must not demonstrate childhood apraxia of speech (CAS-only) features in BOTH articulatory and rate/prosody domains of the ProCAD.
9 Years
17 Years
ALL
Yes
Sponsors
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National Institutes of Health (NIH)
NIH
State University of New York - Upstate Medical University
OTHER
National Institute on Deafness and Other Communication Disorders (NIDCD)
NIH
Syracuse University
OTHER
Responsible Party
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Locations
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Syracuse University
Syracuse, New York, United States
Countries
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Central Contacts
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Facility Contacts
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Related Links
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Lab website with recruitment information
Other Identifiers
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22-426b
Identifier Type: -
Identifier Source: org_study_id
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