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 …

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 …

We present an assessment of the practical value of existing traditional and non-standard
measures for discriminating healthy people from people with Parkinson? s disease (PD) by …

Background: Voice disorders affect patients profoundly, and acoustic tools can potentially
measure voice function objectively. Disordered sustained vowels exhibit wide-ranging …

The work presented here is part of a larger study to identify novel technologies and
biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the …

This paper evaluates the accuracy of different characterization methods for the automatic
detection of multiple speech disorders. The speech impairments considered include …

Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia; it
has a high socioeconomic impact in Western countries. Therefore, it is one of the most active …

In this paper, we propose to quantify the quality of the recorded voice through objective
nonlinear measures. Quantification of speech signal quality has been traditionally carried …

This paper presents a study of the approaches in the state-of-the-art in the field of
pathological speech signal analysis with a special focus on parametrization techniques. It …

This paper describes some methodological concerns to be considered when designing
systems for automatic detection of voice pathology, in order to enable comparisons to be …