Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …

Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …

Depression has been the leading cause of mental-health illness worldwide. Major
depressive disorder (MDD), is a common mental health disorder that affects both …

Given the prevalence of depression worldwide and its major impact on society, several
studies employed artificial intelligence modelling to automatically detect and assess …

Background Speech contains neuromuscular, physiological and cognitive components, and
so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate …

There is an urgent need to detect depression using a non-intrusive approach that is reliable
and accurate. In this paper, a simple and efficient unimodal depression detection approach …

Reliable, valid, and efficient assessment of depression is critical to identify individuals in
need of treatment and to gauge treatment response. Current methods of assessment are …

With increasing globalization, news from different countries, and even in different languages,
has become readily available and has become a way for many people to learn about other …

Although clinical best practice suggests that affect awareness could enable more effective
technological support for physical rehabilitation through personalisation to psychological …

The need for objective measurement in psychiatry has stimulated interest in alternative
indicators of the presence and severity of illness. Speech may offer a source of information …