Evaluating the Effectiveness of Hybrid and Traditional Speech Therapy for /ɹ/ and /s/ Sound Production

The purpose of this research study is to evaluate the effectiveness of a hybrid Artificial Intelligence-assisted speech therapy model, which combines the use of an AI speech therapist (Jessica) with traditional speech therapy sessions led by a Speech-Language Pathologist (SLP). This study aims to determine whether the hybrid model improves articulation in children more effectively than traditional SLP-only therapy. Over the course of 8 weeks, participants will receive weekly therapy sessions, and those in the hybrid therapy group will also practice with Jessica between sessions. The study will also gather feedback from parents and speech therapists to assess their experiences and satisfaction with treatment.

NCT Number	NCT07061730
Lead Sponsor	Syracuse University Collaborators: Better Speech
Conditions	Speech Sound Disorder
Enrollment	23 participants
Start Date	2025-05-01
Primary Completion	2026-02-28 (estimated)
Study Completion	2026-02-28 (estimated)
Updated on ClinicalTrials.gov	2026-07-09