Detecting Alzheimer's Disease from Continuous Speech Using Language Models.

Journal: Journal of Alzheimer's disease : JAD
Published Date: Jan 1, 2019

Abstract

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 healthy speech.

Authors

  • Zhiqiang Guo
    Key Laboratory of Fiber Optic Sensing Technology and Information Processing, School of Information Engineering, Wuhan University of Technology, Wuhan, China.
  • Zhenhua Ling
    National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, China.
  • Yunxia Li

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