Importance Depression is an illness affecting a large percentage of the world's population
throughout the lifetime. To date, there is no available biomarker for depression detection and …

Background Depression is a widespread mental disorder that affects a significant portion of
the population. However, the assessment of depression is often subjective, relying on …

Objective The aim of the present study was to determine if acoustic measures of voice,
characterizing specific spectral and timing properties, predict clinical ratings of depression …

A large proportion of Depression Disorder patients do not receive an effective diagnosis,
which makes it necessary to find a more objective assessment to facilitate a more rapid and …

Both minor and major depression have high prevalence and are important causes of social
burden worldwide; however, there is still no objective indicator to detect minor depression …

Automatic assessment of depression from speech signals is affected by variabilities in
acoustic content and speakers. In this study, we focused on addressing these variabilities …

Background Automated speech analysis has gained increasing attention to help diagnosing
depression. Most previous studies, however, focused on comparing speech in patients with …

Depression is a common mental health problem leading to significant disability worldwide. It
is not only common but also commonly co-occurs with other mental and neurological …

Efforts to develop more effective depression treatments are limited by assessment methods
that rely on patient-reported or clinician judgments of symptom severity. Depression also …

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