Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …

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 …

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 …

Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …

Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of …

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 …

It is widely accepted that information derived from analyzing speech (the acoustic signal)
and language production (words and sentences) serves as a useful window into the health …

Individuals with serious mental illness experience changes in their clinical states over time
that are difficult to assess and that result in increased disease burden and care utilization. It …

Computer-based assessments of natural language afford a framework with which to
measure communication disturbances in adults with severe mental illnesses. Emerging …

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 …