SBIR Phase II: Evaluative Artificial Speech Intelligence and Autism Screener (EASI-AS)

SBIR 第二阶段：评估性人工智能和自闭症筛查仪 (EASI-AS)

• 批准号: 2133148
• 负责人: Lois Brady
• 金额: $ 100万
• 依托单位: iTherapy LLC
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2133148&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Evaluative; Artificial

The broader impact of this Small Business Innovation Research (SBIR) Phase II project will improve treatment for children with communication impairments. The project will develop a system that provides specialists and parents with reports that have accurate, efficient, and easy-to-understand speech and language evaluations with recommendations and suggestions, for better understanding the children’s communication challenges and how to solve them. It will bridge the gap between a clinical assessment and support at home, impacting clinical outcomes by providing a more accurate assessment of child language developmental needs. Consequently, this will result in more personalized education and treatment, particularly for diverse communities. This Small Business Innovation Research (SBIR) Phase II project addresses pain points surrounding speech and language assessment with children with communication impairments. The child’s language use must be captured in a natural setting to obtain an accurate analysis. The solution is a flexible, self-customizing system using a trained AI approach to evaluate speech and language skills, then provide analytical feedback in key communication areas. To evaluate a child’s communication skills, the system collects a language sample based on natural adult-child social language interactions. Research objectives include: (1) improvement and development of machine-learning modules, specifically the language proficiency assessment, recommendation engine, recognition of child voices, recognition of accents and dialects, and intonation detection; (2) an autism screener development, to be used as a pre-diagnostic tool with eye-tracking technology; and (3) web and mobile application development for data collection by the child.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）第二阶段项目的更广泛影响将改善沟通障碍儿童的治疗。该项目将开发一个系统，该系统为专家和父母提供具有准确，高效且易于理解的语音和语言评估的报告，并提供建议和建议，以更好地理解孩子的沟通挑战以及如何解决这些挑战。它将弥合家庭临床评估和在家支持之间的差距，从而通过对儿童语言发育需求进行更准确的评估来影响临床结果。因此，这将导致更多个性化的教育和治疗，特别是对于潜水员社区。这项小型企业创新研究（SBIR）第二阶段项目解决了与沟通障碍儿童的语音评估有关的疼痛点。必须在自然环境中捕获孩子的语言使用，以获得准确的分析。该解决方案是一种使用训练有素的AI方法来评估语音和语言技能的灵活，自我定制的系统，然后在关键的沟通领域提供分析反馈。为了评估儿童的沟通技巧，该系统根据天生的成人社会语言互动收集语言样本。研究目标包括：（1）改进和开发机器学习模块，特别是语言能力评估，建议引擎，对儿童声音的认可，口音和方言的识别以及语调检测； （2）一种自闭症筛查器的开发，可作为具有眼球追踪技术的诊断前工具； （3）Child的Web和移动应用程序开发。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响标准来评估，被认为是珍贵的支持。