No studies have investigated cross-cultural and cross-language characteristics of depressed
speech. We investigated the generalisability of a vocal biomarker-based approach to …

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 …

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 …

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 discuss speech features that are useful in the detection of depression.
Neuro-physiological changes associated with depression affect motor coordination and can …

Depression is a serious psychiatric disorder that affects mood, thoughts, and the ability to
function in everyday life. This paper investigates the characteristics of depressed speech for …

Assessing depression via speech characteristics is a growing area of interest in quantitative
mental health research with a view to a clinical mental health assessment tool. As a mood …

Depression is a widespread mental health problem around the world with a significant
burden on economies. Its early diagnosis and treatment are critical to reduce the costs and …

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 …

In the future, automatic speech-based analysis of mental health could become widely
available to help augment conventional healthcare evaluation methods. For speech-based …