Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech

Muskan Kothari, Darshil Shah, Moulya T., Swasthi Rao, Jayashree R.

2023

Abstract

Alzheimer’s disease is the most common cause of dementia — a continuous decline in thinking, behavioral and social skills that affects a person’s ability to function independently. Another area of concern is the overlap of symptoms with a similar disease of dementia - Frontotemporal Dementia(FTD). This paper aims to analyze the difference in linguistic features between control and dementia groups with respect to lexical diversity through measures like Brunet’s and Sichel’s measure, frequency rates of adverb, verb, and linguistic deterioration through repetition, disfluency, incomplete sentences, hesitation and long pauses through dataset obtained by DementiaBank. This is achieved through gauging the cognitive ability in speech, which is an inexpensive and non-invasive mode of analysis, qualifying as a screening test. The subjects are given certain description tasks such as the famous cookie theft picture, analyzed through conversations. The result displays the difference in lexical diversity which is a significant marker.

Paper Citation

in Harvard Style

Kothari M., Shah D., T. M., Rao S. and R. J. (2023). Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 806-812. DOI: 10.5220/0011779000003393

in Bibtex Style

@conference{icaart23,
author={Muskan Kothari and Darshil Shah and Moulya T. and Swasthi Rao and Jayashree R.},
title={Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={806-812},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011779000003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Measures of Lexical Diversity and Detection of Alzheimer’s Using Speech
SN - 978-989-758-623-1
AU - Kothari M.
AU - Shah D.
AU - T. M.
AU - Rao S.
AU - R. J.
PY - 2023
SP - 806
EP - 812
DO - 10.5220/0011779000003393