ISBN: 978-981-18-3959-7 DOI: 10.18178/wcse.2022.06.024
Acoustic and Linguistic Analyses to Predict Cognitive Decline Progression in Alzheimer’s Disease
em>Abstract—Alzheimer’s Disease (AD) is a type of dementia that progressively destroys cognitive functions and, eventually, the ability to carry out daily tasks. Since current treatments aim to delay the disease, there is an urgent need to monitor and predict the disease progression in a straightforward manner. In this paper, we extract acoustic and linguistic features from patients’ spontaneous speeches and then analyze them within various models, respectively.
Index Terms—Alzheimer’s disease, acoustic features, linguistic features, cognitive decline detection
Chen Qian, Jian Wen, Jiyun Li
School of Computer Science and Technology, Donghua University Shanghai, CHINA
Cite: Chen Qian, Jian Wen, Jiyun Li, "Acoustic and Linguistic Analyses to Predict Cognitive Decline Progression in Alzheimer’s Disease, " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 170-175, June 24-27, 2022.