Speech as a Biomarker for Depression.

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 approaches have opened up new avenues in developing such a biomarker by taking advantage of the wealth of information that can be extracted from a person's speech.

Objective: The current review provides an overview of the latest findings in the rapidly evolving field of computational language analysis for the detection of depression.