Faculty of Computing

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/4776

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    Huruwa: An AI-IoT Robotic System for Adaptive Speech Therapy and Parental Support for Sinhala-Speaking Children with Speech Sound Disorders
    (Institute of Electrical and Electronics Engineers Inc., 2026-05-21) Iddamalgoda, R; Piyathilaka, D; Pallebathgala, D; Abeyrathne, H; Thelijjagoda, S; Vidanaralage, A. J
    Early phonological intervention for Sinhalaspeaking children with speech sound disorders requires scalable, engaging tools that bridge clinical expertise and home practice; however, low-resource language constraints limit available solutions. This paper introduces Huruwa, an AI-IoT robotic platform designed to support speech therapy for Sinhala-speaking children. The system integrates LLM-guided conversational interaction, phoneme-adaptive exercises (80-90% task suitability), and SVM-RBF-based phoneme error detection achieving 78% accuracy. It further employs knowledge-graph-driven therapy generation and a RAG-based parent guidance system to deliver grounded, hallucination-controlled support. Evaluations confirm real-time feasibility across components, offering a deployable model for Sinhala child speech therapy in resource-limited settings like Sri Lanka.