Depression is one of the most common mental health issues.(It affects more than 4% of the
world's population, according to recent estimates.) This article shows that the joint analysis …

Speech-based depression detection has attracted significant attention over the last years. A
debated problem is whether it is better to use language (what people say), paralanguage …

In this paper, we investigate the problem of detecting depression from recordings of subjects'
speech using speech processing and machine learning. There has been considerable …

In this paper a mono-and multi-lingual study is presented about the depressed speech
detection possibilities. Beck Depression Inventory questionnaires were used for the …

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 …

Abstract Major Depressive Disorder (MDD) is one of the most common and comorbid mental
disorders that impacts a person's day-to-day activity. In addition, MDD affects one's linguistic …

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 …

This work investigates the use of a classification approach as a means to identify effective
depression markers in read speech, ie, observable and measurable traces of the pathology …

In this paper, read and spontaneous speech have been compared in the light of automatic
depression detection by speech processing. First, statistical analysis was carried out to …

This article shows that an attention mechanism, the Multi-Local Attention, can improve a
depression detection approach based on Long Short-Term Memory Networks. Besides …