Generative AI Applications in Helping Children with Speech Language Issues

Helen Qin
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Abstract

This paper reports how generative AI can help children with specific language impairment (SLI) issues by developing an AI-assisted tool to support children with challenges in phonological development in English, especially children with English as the secondary language in the United States. Children from bilingual families often experience challenges in developing proficiency in English pronunciation and communication, which has been exacerbated by remote learning during the pandemic and led to learning loss. School-aged children with speech problems require timely intervention because children with language disorders find it difficult to communicate with others, leading to social isolation and academic difficulties. The needed intervention is often delayed due to the high cost of speech services and the shortage of Speech and Language Pathologists (SLPs). Individuals with a history of SLI have an increased risk of unemployment. An AI-assisted Phonological Development (AI-PD) tool was prototyped, aiming to alleviate these challenges by assisting caregivers in evaluating children's phonological development, assisting SLPs in lesson preparation, and mitigating the severe shortage of SLPs.
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生成式人工智能在帮助儿童解决言语语言问题中的应用
本文报告了生成式人工智能如何通过开发一种人工智能辅助工具来帮助有特殊语言障碍(SLI)问题的儿童,尤其是在美国以英语为第二语言的儿童在英语语音发展方面遇到的挑战。来自双语家庭的儿童往往在熟练掌握英语发音和交流方面遇到困难,这种情况在大流行病期间因远程学习而加剧,并导致学习损失。有语言问题的学龄儿童需要及时干预,因为有语言障碍的儿童难以与他人交流,导致社交孤立和学业困难。由于言语服务费用高昂以及言语和语言病理学家(SLP)短缺,所需的干预往往被延误。有 SLI 病史的人失业风险更高。我们开发了一个人工智能辅助语音发展(AI-PD)工具原型,旨在通过协助护理人员评估儿童的语音发展、协助语言治疗师备课以及缓解语言治疗师的严重短缺来缓解这些挑战。
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