Background: Depression is a debilitating disorder that at present lacks a reliable biomarker
to aid in diagnosis and early detection. Recent advances in computational analytic …

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

Mental distress like depression and anxiety contribute to the largest proportion of the global
burden of diseases. Automated diagnosis systems of such disorders, empowered by recent …

Depression is a growing problem worldwide, impacting on an increasing number of patients,
and also affecting health systems and the global economy. The most common diagnostical …

Major depressive disorder, referred to as depression, is a leading cause of disability,
absence from work, and premature death. Automatic assessment of depression from speech …

Depression is one of the most prominent mental disorders, with an increasing rate that
makes it the fourth cause of disability worldwide. The field of automated depression …

There is an urgent need for new methods that improve the management and treatment of
Major Depressive Disorder (MDD). Speech has long been regarded as a promising digital …

Schizophrenia and depression are the two most common mental disorders associated with
negative symptoms that contribute to poor functioning and quality of life for millions of …

A fast-growing area of mental health research is the search for speech-based objective
markers for conditions such as depression. One vital challenge in the development of …

Depression is one of the most common mental disorders. Early intervention is very important
for reducing the burden of the disease, but current methods of diagnosis remain limited …