AI-Assisted Treatment for Residual Speech Sound Disorders
Trial Parameters
Brief Summary
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.
Eligibility Criteria
Inclusion Criteria: * Must speak a rhotic dialect of American English as a dominant language. * 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% ac