Acoustic features from speech as markers of depressive and manic symptoms in bipolar disorder: A prospective study.

ABSTRACT:

Introduction

Voice features could be a sensitive marker of affective state in bipolar disorder (BD). Smartphone apps offer an excellent opportunity to collect voice data in the natural setting and become a useful tool in phase prediction in BD.

Aims of the study

We investigate the relations between the symptoms of BD, evaluated by psychiatrists, and patients' voice characteristics. A smartphone app extracted acoustic parameters from the daily phone calls of n = 51 patients. We show how the prosodic, spectral, and voice quality features correlate with clinically assessed affective states and explore their usefulness in predicting the BD phase.

Methods

A smartphone app (BDmon) was developed to collect the voice signal and extract its physical features. BD patients used

SUBMITTER: Kaczmarek-Majer K 

PROVIDER: S-EPMC11787917 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature