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

This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …

Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …

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

The infinite increase in population, the pressure of survival, and the pressure of learning
make the competition between people more and more fierce. Some college students have …

This book reports on an outstanding thesis that has significantly advanced the state-of-the-
art in the automated analysis and classification of speech and music. It defines several …

An estimated 350 million people worldwide are affected by depression. Using affective
sensing technology, our long-term goal is to develop an objective multimodal system that …

Automatic classification of depression using audiovisual cues can help towards its objective
diagnosis. In this paper, we present a multimodal depression classification system as a part …

Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

Background Major depressive episode (MDE) is a common clinical syndrome. It can be
found in different pathologies such as major depressive disorder (MDD), bipolar disorder …