AI-enhanced Speech and Voice Recognition Tools: Improving Communication for Children with Apraxia and Stuttering

Abstract

This paper explores the remarkable advancements in Artificial Intelligence (AI)-driven speech and voice recognition technologies, focusing on their transformative role in improving communication for children with speech disabilities such as apraxia and stuttering. These advancements represent a new frontier in assistive technology, with AI significantly enhancing the accuracy, adaptability, and effectiveness of speech recognition systems. We examine how AI-powered tools are being utilized to improve speech clarity, enable more effective communication, and support personalized therapy interventions tailored to individual needs. The integration of deep learning, machine learning, and natural language processing has proven instrumental in overcoming the challenges posed by traditional therapeutic methods, offering more precise and dynamic solutions. Additionally, this paper reviews the current landscape of AI-based tools, providing insights into their impact on therapy outcomes and quality of life for affected children. The discussion extends to the ethical considerations, such as data privacy, inclusivity, and algorithmic bias, ensuring the responsible development of these technologies. Finally, we explore the future potential of AI-driven solutions, highlighting their promise in creating more inclusive, accessible, and effective communication support systems for children with speech disabilities worldwide.