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 …

Speech processing plays a crucial role in many signal processing applications, while the
last decade has bought gigantic evolution based on machine learning prototype. Speech …

The sound of a person's voice is commonly used to identify the speaker. The sound of
speech is also starting to be used to detect medical conditions, such as depression. It is not …

Major depressive disorder (MDD) is one of the most common modern ailments affected huge
population throughout the world. The electroencephalogram (EEG) signal is widely used to …

Speech-based automatic depression detection systems have been extensively explored
over the past few years. Typically, each speaker is assigned a single label (Depressive or …

Epidemiological studies report high levels of anxiety and depression amongst adolescents.
These psychiatric conditions and complex interplays of biological, social and environmental …

Purpose Diagnosis and treatment in psychiatry are still highly dependent on reports from
patients and on clinician judgment. This fact makes them prone to memory and subjectivity …

Objective Affective disorders are associated with atypical voice patterns; however,
automated voice analyses suffer from small sample sizes and untested generalizability on …

Early detection and treatment of depression is essential in promoting remission, preventing
relapse, and reducing the emotional burden of the disease. Current diagnoses are primarily …