Affective computing for late-life mood and cognitive disorders

E Smith, EA Storch, I Vahia, STC Wong… - Frontiers in …, 2021 - frontiersin.org
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the
study and development of systems and devices that can recognize, interpret, process, and …

[PDF][PDF] Automated Screening for Alzheimer's Dementia Through Spontaneous Speech.

MSS Syed, ZS Syed, M Lech, E Pirogova - Interspeech, 2020 - researchgate.net
Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …

An automatic Alzheimer's disease classifier based on spontaneous spoken English

F Bertini, D Allevi, G Lutero, L Calzà… - Computer Speech & …, 2022 - Elsevier
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

Use of speech analyses within a mobile application for the assessment of cognitive impairment in elderly people

A Konig, A Satt, A Sorin, R Hoory… - Current Alzheimer …, 2018 - ingentaconnect.com
Background: Various types of dementia and Mild Cognitive Impairment (MCI) are manifested
as irregularities in human speech and language, which have proven to be strong predictors …

Automatic speech classifier for mild cognitive impairment and early dementia

F Bertini, D Allevi, G Lutero, D Montesi… - ACM Transactions on …, 2021 - dl.acm.org
The World Health Organization estimates that 50 million people are currently living with
dementia worldwide and this figure will almost triple by 2050. Current pharmacological …

[HTML][HTML] Biometric data and machine learning methods in the diagnosis and monitoring of neurodegenerative diseases: a review

IA Hodashinsky, KS Sarin, MB Bardamova… - Computer …, 2022 - computeroptics.ru
A review of noninvasive biometric methods for detecting and predicting neurodegenerative
diseases is presented. An analysis of various modalities used to diagnose and monitor …

[PDF][PDF] Speech-Based Detection of Alzheimer's Disease in Conversational German.

J Weiner, C Herff, T Schultz - Interspeech, 2016 - isca-archive.org
The worldwide population is aging. With a larger population of elderly people, the numbers
of people affected by cognitive impairment such as Alzheimer's disease are growing …

[PDF][PDF] Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.

M Martinc, S Pollak - Interspeech, 2020 - dementia.talkbank.org
The paper describes a multimodal approach to the automated recognition of Alzheimer's
dementia in order to solve the ADReSS (Alzheimer's Dementia Recognition through …

[HTML][HTML] Development and validation of a respiratory-responsive vocal biomarker–based tool for generalizable detection of respiratory impairment: Independent case …

S Kaur, E Larsen, J Harper, B Purandare… - Journal of Medical …, 2023 - jmir.org
Background Vocal biomarker–based machine learning approaches have shown promising
results in the detection of various health conditions, including respiratory diseases, such as …

Telephone-based dementia screening I: automated semantic verbal fluency assessment

J Tröger, N Linz, A König, P Robert… - Proceedings of the 12th …, 2018 - dl.acm.org
Dementia has a large economic impact on our society as cost-effective population-wide
screening for early signs of dementia is still an unsolved medical supply resource problem …