Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis

This study demonstrates the effectiveness of language-specific ensemble modeling with Whisper embeddings in enabling scalable, non-invasive cognitive health assessments of Alzheimer's disease, achieving state-of-the-art results in multilingual settings.

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Publication Details

Journal
Brain Sciences
Published
2024-12-22
DOI
https://doi.org/10.3390/brainsci14121292
Citations
11
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
4.24

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article

Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis

Felix Agbavor, Hualou Liang
11 citations
Brain Sciences
Dementia and Cognitive Impairment Research
4.24
article

Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis

Felix Agbavor, Hualou Liang
article en
11 citations

Abstract

This study demonstrates the effectiveness of language-specific ensemble modeling with Whisper embeddings in enabling scalable, non-invasive cognitive health assessments of Alzheimer's disease, achieving state-of-the-art results in multilingual settings.

Brain SciencesVol. 14(12)
Drexel University (US)
Drexel University, National Institutes of Health, National Institute on Aging
No poverty
Openalex Percentile: Top 4%
Dementia and Cognitive Impairment Research
4.24
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