Automatically Identifying Trouble-Indicating Speech Behaviors in Alzheimer's Disease
Frank Rudzicz, Leila Chan Currie, Andrew Danks, Tejas Mehta, Shunan Zhao · 2014 · ASSETS '14: Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility
This paper addresses the challenge of automatically detecting communication breakdowns in conversations with people who have Alzheimer's disease (AD). AD is a progressive neurodegenerative disease that deteriorates memory, executive capacity, visual-spatial reasoning, and…
Alzheimer's disease · dementia · speech recognition · natural language processing · machine learning