Deep learning-based speech analysis for Alzheimer's disease detection: a literature review
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 …
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
Dementia detection from speech using machine learning and deep learning architectures
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 …
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.
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 …
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 …
the large number of messaging platforms that children and young people use nowadays …
Prosody-Driven Privacy-Preserving Dementia Detection
Speaker embeddings extracted from voice recordings have been proven valuable for
dementia detection. However, by their nature, these embeddings contain identifiable …
dementia detection. However, by their nature, these embeddings contain identifiable …
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study
Automated dementia screening enables early detection and intervention, reducing costs to
healthcare systems and increasing quality of life for those affected. Depression has shared …
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 …
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
Dementia prediction in older people through topic-cued spontaneous conversation
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 …
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 …
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 …
slowed down or stopped with medical treatment. Language changes may indicate that a …