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 …

Dementia detection from speech using machine learning and deep learning architectures

MR Kumar, S Vekkot, S Lalitha, D Gupta, VJ Govindraj… - Sensors, 2022 - mdpi.com
Dementia affects the patient's memory and leads to language impairment. Research has
demonstrated that speech and language deterioration is often a clear indication of dementia …

[PDF][PDF] Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings.

PA Pérez-Toro, P Klumpp, A Hernandez, T Arias… - Interspeech, 2022 - isca-archive.org
Cross-lingual approaches are growing in popularity in the machine learning domain, where
large amounts of data are required to obtain better generalizations. Moreover, one of the …

How to take advantage of behavioral features for the early detection of grooming in online conversations

DF Milon-Flores, RLF Cordeiro - Knowledge-Based Systems, 2022 - Elsevier
Detecting grooming behavior in online conversations has become a growing problem due to
the large number of messaging platforms that children and young people use nowadays …

Prosody-Driven Privacy-Preserving Dementia Detection

D Woszczyk, R Aloufi, S Demetriou - arxiv preprint arxiv:2407.03470, 2024 - arxiv.org
Speaker embeddings extracted from voice recordings have been proven valuable for
dementia detection. However, by their nature, these embeddings contain identifiable …

Classifying Dementia in the Presence of Depression: A Cross-Corpus Study

F Braun, SP Bayerl, PA Pérez-Toro, F Hönig… - arxiv preprint arxiv …, 2023 - arxiv.org
Automated dementia screening enables early detection and intervention, reducing costs to
healthcare systems and increasing quality of life for those affected. Depression has shared …

[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 …

Dementia prediction in older people through topic-cued spontaneous conversation

TM Rutkowski, MS Abe, S Tokunaga… - medRxiv, 2021 - medrxiv.org
An increase in dementia cases is producing significant medical and economic pressure in
many communities. This growing problem calls for the application of AI-based technologies …

[PDF][PDF] Identificação da doença de Alzheimer através da fala: uma abordagem multilíngue

G Bernieri, JC Duarte - Journal of Health Informatics, 2024 - jhi.sbis.org.br
A doença de Alzheimer, principal forma de demência entre os idosos no mundo, tem
significativas repercussões sociais e econômicas. É caracterizada pela perda de memória e …

Detecting Alzheimer's disease using NLP methods

A Sarafidis - 2023 - dione.lib.unipi.gr
Alzheimer's disease (AD) is a progressive brain disease that cannot be treated, but only be
slowed down or stopped with medical treatment. Language changes may indicate that a …