The main objective of this study is to prove that automatic voice analysis of non-linguistic
content during spontaneous speech can provide useful information for cognitive assessment …

This study aimed at evaluating whether people with a normal cognitive function can be
discriminated from subjects with a mild impairment of cognitive function based on a set of …

In the context of the worldwide phenomenon of aging, the decline of cognitive functions has
been one of the main focuses of healthcare policies due to the high costs for diagnosis and …

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 …

Background Recent evidence suggests that speech substantially changes in ageing. As a
complex neurophysiological process, it can accurately reflect changes in the motor and …

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 …

Background The rise in life expectancy is associated with an increase in long-term and
gradual cognitive decline. Treatment effectiveness is enhanced at the early stage of the …

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 …

The goal of this study is to develop and test an automated integrated speech analysis
system for detecting mild cognitive impairment (MCI) and dementia in spontaneous free …

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 …