This pilot study evaluates the ability of machined learned algorithms to assist with the
differential diagnosis of dementia subtypes based on brief (< 10 min) spontaneous speech …

Dementia, a prevalent disorder of the brain, has negative effects on individuals and society.
This paper concerns using Spontaneous Speech (ADReSS) Challenge of Interspeech 2020 …

Alzheimer's disease (AD) is the most common cause of dementia and affects wide parts of
the elderly population. Since there exists no cure for this illness, it is of particular interest to …

Background: Advances in machine learning (ML) technology have opened new avenues for
detection and monitoring of cognitive decline. In this study, a multimodal approach to …

Current methods of assessing dementia of Alzheimer type (DAT) in older adults involve
structured interviews that attempt to capture the complex nature of deficits suffered. One of …

Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …

As the population in developed countries is aging, larger numbers of people are at risk of
developing dementia. In the near future there will be a need for time-and cost-efficient …

The clinical diagnosis of Alzheimer's disease and other dementias is very challenging,
especially in the early stages. Our hypothesis is that any disease that affects particular brain …

We provide evidence to the potential use of simple spoken tasks for automatic assessment
of very early dementia. Timely detection of dementia is required for effective psychological …

This research is a discriminative analysis of conversational dialogs involving individuals
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …