Learning Language and Acoustic Models for Identifying Alzheimer’s Dementia From Speech

Learning Language and Acoustic Models for Identifying Alzheimer’s Dementia From Speech

Alzheimer’s dementia (AD) is a chronic neurodegenerative illness that manifests in a gradual decline of cognitive function. Early identification of AD is essential for managing the ensuing cognitive deficits, which may lead to a better prognostic outcome. Speech data can serve as a window into cogni...

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Bibliographic Details
Main Authors: Zehra Shah, Jeffrey Sawalha, Mashrura Tasnim, Shi-ang Qi, Eleni Stroulia, Russell Greiner
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Computer Science
Subjects:
speech and audio classification
pathological speech and language
automatic analysis of speaker states and traits
machine learning
natural language proceeding (NLP)
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2021.624659/full

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https://www.frontiersin.org/articles/10.3389/fcomp.2021.624659/full

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