Dynamic Interactive Multimodal Speech (DIMS) Framework

Abstract

Articulation disorders significantly impact children's speech intelligibility, academic performance and social interactions. Traditional intervention methods primarily focus on isolated phonetic corrections, often neglecting the cognitive, sensory-motor, and social aspects of speech production. The Dynamic Interactive Multimodal Speech (DIMS) Framework presents a comprehensive psycholinguistic approach that integrates visual, auditory, and tactile-kinesthetic cues, alongside neural plasticity-based reinforcement and social-environmental integration to enhance articulation therapy.
This study explores the theoretical underpinnings of multimodal speech processing and presents a case study of a six-year-old child with articulation difficulties, demonstrating the effectiveness of the DIMS Framework over a 12-week intervention period. Findings indicate a 35% improvement in speech intelligibility, a 45% increase in phoneme accuracy, and enhanced speech motor coordination. Additionally, the study highlights the role of parental involvement, teacher-led reinforcement, and technology-assisted learning in promoting long-term retention and real-world application of articulation improvements.
Despite its advantages, challenges such as the need for trained therapists, standardization issues and resource limitations must be addressed. Future research should explore neural mechanisms, AI-driven speech tools and scalable intervention models to optimize multimodal speech therapy. The DIMS Framework provides a transformative, evidence-based approach for improving articulation disorders in children.