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 …

[HTML][HTML] Classifying Alzheimer's disease using audio and text-based representations of speech

R Haulcy, J Glass - Frontiers in Psychology, 2021 - frontiersin.org
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …

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 …

Alzheimer's Disease Detection and Dataset Creation from Spontaneous Speech

E Akarsu, Z Huseynliz, B Bilgiç… - 2024 32nd Signal …, 2024 - ieeexplore.ieee.org
This study presents a novel approach for the diagnosis and prediction of the stages of
Alzheimer's disease. The aim of the study is to create a dataset for Alzheimer's disease …

Evaluation of acoustic features for early diagnosis of Alzheimer disease

RB Ammar, YB Ayed - Intelligent Systems Design and Applications: 19th …, 2021 - Springer
Automatic diagnosis and monitoring of Alzheimer's Disease (AD) can have a significant
impact on society as well as the well-being of patients. It is known that Alzheimer's disease …

[HTML][HTML] Speech-and language-based classification of Alzheimer's disease: a systematic review

I Vigo, L Coelho, S Reis - Bioengineering, 2022 - mdpi.com
Background: Alzheimer's disease (AD) has paramount importance due to its rising
prevalence, the impact on the patient and society, and the related healthcare costs …

ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer's Disease

T Tripathi, R Kumar - ADCAIJ: Advances in Distributed Computing …, 2024 - revistas.usal.es
Alzheimer's disease (AD) is a severe neurological condition that affects numerous people
globally with detrimental consequences. Detecting AD early is crucial for prompt treatment …

Natural language features for detection of Alzheimer's disease in conversational speech

A Khodabakhsh, S Kuşxuoğlu… - … on Biomedical and …, 2014 - ieeexplore.ieee.org
Automatic monitoring of the patients with Alzheimer's disease and diagnosis of the disease
in early stages can have a significant impact on the society. Here, we investigate an …

Speech-based detection of multi-class Alzheimer's disease classification using machine learning

T Tripathi, R Kumar - International Journal of Data Science and Analytics, 2024 - Springer
Alzheimer's disease, a significant global health concern, necessitates early detection for
effective treatment and management. This research introduces an innovative method for …

[HTML][HTML] Alzheimer's dementia speech (audio vs. text): Multi-modal machine learning at high vs. low resolution

P Priyadarshinee, CJ Clarke, J Melechovsky, CMY Lin… - Applied Sciences, 2023 - mdpi.com
Automated techniques to detect Alzheimer's Dementia through the use of audio recordings
of spontaneous speech are now available with varying degrees of reliability. Here, we …