Detecting Alzheimer’s Disease from Continuous Speech Using Language Models

Background:Recently, many studies have been carried out to detect Alzheimer’s disease (AD) from continuous speech by linguistic analysis and modeling. However, few of them utilize language models (LMs) to extract linguistic features and to investigate the lexical-level differences between AD and he althy speech. Objective:Our goals include obtaining state-of-art performance of automatic AD detection, emphasizing N-gram LMs as powerful tools for...