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Speech and Mild Cognitive Impairment detection

Conference paper
Authors Charalambos Themistocleous
Dimitrios Kokkinakis
Published in Proceedings of the 10th International Conference of Experimental Linguistics, 25-27 September 2019, Lisbon, Portugal / edited by Antonis Botinis
ISBN 978-618-84585-0-5
ISSN 2529-1092
Publisher ExLing Society
Publication year 2019
Published at Department of Swedish
Centre for Ageing and Health (Agecap)
Language en
Links https://exlingsociety.com/
Keywords Mild Cognitive Impairment Alzheimer’s disease speech analysis
Subject categories Language Technology (Computational Linguistics)

Abstract

It is of great importance to detect objective markers that can enable the early and fast identification of individuals with Mild Cognitive Impairment (MCI) from healthy individuals to inform, patient care, family and treatment planning. Connected speech productions can offer such markers. This study analyses recordings from picture description tasks by Swedish individuals with MCI and healthy control individuals (HC) and shows that voice quality, periodicity, and speech rate distinguish individuals with MCI from HC.

Page Manager: Webmaster|Last update: 9/11/2012
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