Early Detection of Alzheimer's Disease: The Importance of Speech Analysis

K Rauniyar, S Thakur, A Nevatia… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
Almost 50 million individuals throughout the world suffer from Alzheimer's disease (AD), a
disease of the nervous system. There are no licensed medications on the market right now …

A Comprehensive Review of Advancement in Speech-Based Approach for Alzheimer Disease Detection in India

KR Adarkhi, HA Patel, RK Patel - … Research Journal on …, 2024 - goldncloudpublications.com
Alzheimer's Disease (AD), accounting for 60%-70% of dementia cases, is poised to afflict
India as the second-largest country by mid-century, as indicated by a recent World Health …

[HTML][HTML] Deep learning-based speech analysis for Alzheimer's disease detection: a literature review

Q Yang, X Li, X Ding, F Xu, Z Ling - Alzheimer's Research & Therapy, 2022 - Springer
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

[PDF][PDF] Deep learning-based speech analysis for Alzheimer's disease detection: a literature

Q Yang, X Li, X Ding, F Xu, Z Ling - 2022 - alzres.biomedcentral.com
Background: Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

Detection of Alzheimer's disease through speech features and machine learning classifiers

AS Gulapalli, VK Mittal - … Systems: Selected Papers of WorldS4 2021 …, 2022 - Springer
The most common neurodegenerative disease identified in elderly people is Alzheimer's
disease (AD). In general, identification of Alzheimer's is carried out based on medical …

Speech recognition for early detecting Alzheimer's disease by using machine learning algorithms

HO MohamedShreif, A Lawgali - … International Conference on …, 2022 - ieeexplore.ieee.org
Alzheimer's disease is a neuronal disease defined by the gradual onset of cognitive,
emotional, and linguistic deficits. These assaults are severe enough to disrupt patients' …

A Review of Alzheimer's Disease Detection from Spontaneous Speech and Text

MK Vrindha, V Geethu, PR Anurenjan… - 2023 International …, 2023 - ieeexplore.ieee.org
In the past decade, there has been a surge in research examining the use of voice and
speech analysis as a means of detecting neurodegenerative diseases such as Alzheimer's …

A Comparative Survey of Machine Learning Approaches for Alzheimer's Disease Prediction and Detection

MV Shilka, R Subhashini - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a neurological illness that affects a large proportion of the senior
population. Early detection and prognosis are crucial for improving patient care and …

Alzheimer's Disease Detection from Spontaneous Speech and Text: A review

K Vrindha M, V Geethu, R Anurenjan P… - arXiv e …, 2023 - ui.adsabs.harvard.edu
In the past decade, there has been a surge in research examining the use of voice and
speech analysis as a means of detecting neurodegenerative diseases such as Alzheimer's …

Advances on automatic speech analysis for early detection of Alzheimer disease: a non-linear multi-task approach

K Lopez-de-Ipina… - Current Alzheimer …, 2018 - ingentaconnect.com
Objective: Nowadays proper detection of cognitive impairment has become a challenge for
the scientific community. Alzheimer's Disease (AD), the most common cause of dementia …