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; …

The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …

In Major Depressive Disorder (MDD), neurophysiologic changes can alter motor control [1,
2] and therefore alter speech production by influencing the characteristics of the vocal …

Late-life depression (LLD) is a major public health concern. Despite the availability of
effective treatments for depression, barriers to screening and diagnosis still exist. The use of …

Depression is one of the most common mental disorders. Early intervention is very important
for reducing the burden of the disease, but current methods of diagnosis remain limited …

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 …

We introduce an approach called PLENARY (exPlaining bLack-box modEls in Natural
lAnguage thRough fuzzY linguistic summaries), which is an explainable classifier based on …

The spectral and energy properties of speech have consistently been observed to change
with a speaker's level of clinical depression. This has resulted in spectral and energy based …