Early dementia detection using multiple spontaneous speech prompts: The PROCESS challenge

Tao, F., Mirheidari, B., Pahar, M. orcid.org/0000-0002-5926-0144 et al. (12 more authors) (2025) Early dementia detection using multiple spontaneous speech prompts: The PROCESS challenge. In: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06-11 Apr 2025, Hyderabad, India. Institute of Electrical and Electronics Engineers (IEEE), pp. 1-2. ISBN: 9798350368758. ISSN: 1520-6149. EISSN: 2379-190X.

Abstract

Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To address this issue, the Prediction and Recognition of Cognitive Decline through Spontaneous Speech (PROCESS) Signal Processing Grand Challenge invites participants to focus on early-stage dementia detection. We provide a new spontaneous speech corpus for this challenge. This corpus includes answers from three prompts designed by neurologists to better capture the cognition of speakers. Our baseline models achieved an F1-score of 55.0% on the classification task and an RMSE of 2.98 on the regression task.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Tao, F. Mirheidari, B. Pahar, M. https://orcid.org/0000-0002-5926-0144 Young, S. https://orcid.org/0009-0004-7896-697X Xiao, Y. Elghazaly, H. Peters, F. Illingworth, C. Braun, D. O’Malley, R. Bell, S. https://orcid.org/0000-0002-2781-6478 Blackburn, D. https://orcid.org/0000-0001-8886-1283 Haider, F. Luz, S. Christensen, H. https://orcid.org/0000-0003-3028-5062
Copyright, Publisher and Additional Information:	© 2025 The Authors. Except as otherwise noted, this author-accepted version of a paper published in ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Keywords:	Mild cognitive impairment detection; dementia detection; speech processing
Dates:	Published (online): 7 March 2025 Published: 7 March 2025
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 Medicine and Population Health The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield)
Funding Information:	Funder Grant number DEPARTMENT OF HEALTH AND SOCIAL CARE NIHR202911 (30003)
Depositing User:	Symplectic Sheffield
Date Deposited:	08 Sep 2025 14:54
Last Modified:	08 Sep 2025 15:19
Status:	Published
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Refereed:	Yes
Identification Number:	10.1109/icassp49660.2025.10889017
Related URLs:	Conference
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:231302

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Early dementia detection using multiple spontaneous speech prompts: The PROCESS challenge

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