Acoustic Emotion Analysis for Novel Detection of Alzheimer's Dementia

Sviderski, Marek; Barakat, Basel and Allen, Becky. 2024. 'Acoustic Emotion Analysis for Novel Detection of Alzheimer's Dementia'. In: 2024 29th International Conference on Automation and Computing (ICAC). Sunderland, United Kingdom 28 -30 August 2024. [Conference or Workshop Item]

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Abstract or Description

Abstract Alzheimer’s Dementia (AD) presents significant diagnostic challenges, particularly in terms of early detection, where traditional methods often fall short due to their invasiveness and high costs. This study introduces a novel, noninvasive approach utilising emotional expressions captured from audio recordings to detect AD. Employing advanced digital signal processing techniques, including Facebook’s Denoiser model, and deep learning methodologies through models such as Wav2Vec 2.0, this research aims to identify emotional disturbances that precede cognitive decline. Audio recordings were transformed into a tabular format, suitable for machine learning analysis. The LGBM Classifier and ensemble methods demonstrated superior performance, with the LGBM Classifier achieving the highest F1 score of 0.93 and an accuracy of 0.89 on a 3.5-second segment. These findings underscore the potential of combining emotional analysis with machine learning to enhance early AD detection, offering a simpler, more accessible diagnostic tool than currently available methods.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1109/ICAC61394.2024.10718806

Additional Information:

“© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Keywords:

Alzheimer's Dementia, acoustic emotion recognition, machine learning, audio processing, deep learning

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
23 October 2024Published

Event Location:

Sunderland, United Kingdom

Date range:

28 -30 August 2024

Item ID:

38170

Date Deposited:

31 Jan 2025 09:35

Last Modified:

31 Jan 2025 11:44

URI:

https://research.gold.ac.uk/id/eprint/38170

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