Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt.

Mirheidari, B., Pan, Y., Walker, T. orcid.org/0000-0002-2583-7232 et al. (4 more authors) (Submitted: 2019) Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. arXiv. (Submitted)

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Author(s). For reuse permissions, please contact the Author(s).
Keywords: clinical applications of speech technology; pathological speech; dementia detection
Dates:
  • Submitted: 1 October 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Funding Information:
FunderGrant number
Medical Research Counciln/a
European Commission - HORIZON 2020766287 - TAPAS
Depositing User: Symplectic Sheffield
Date Deposited: 17 Sep 2021 10:44
Last Modified: 17 Sep 2021 10:44
Published Version: https://arxiv.org/abs/1910.00515v1
Status: Submitted
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