Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive
(cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Background: Even today the reliable diagnosis of the prodromal stages of Alzheimer's
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …

Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …

Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …

Abstract Mild Cognitive Impairment (MCI), sometimes regarded as a prodromal stage of
Alzheimer's disease, is a mental disorder that is difficult to diagnose. However, recent …

This study explores several speech parameters related to mild cognitive impairment, as well
as those that might be flagging the presence of an underlying neurodegenerative process …

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 …

Here we seek to automatically identify Hungarian patients suffering from mild cognitive
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …

Background: Language impairment in Alzheimer's disease (AD) has been widely studied but
due to limited data availability, relatively few studies have focused on the longitudinal …