Speech Emotion Recognition in Mental Health: Systematic Review of Voice-Based Applications.

ABSTRACT:

Background

The field of speech emotion recognition (SER) encompasses a wide variety of approaches, with artificial intelligence technologies providing improvements in recent years. In the domain of mental health, the links between individuals' emotional states and pathological diagnoses are of particular interest.

Objective

This study aimed to investigate the performance of tools combining SER and artificial intelligence approaches with a view to their use within clinical contexts and to determine the extent to which SER technologies have already been applied within clinical contexts.

Methods

The review includes studies applied to speech (audio) signals for a select set of pathologies or disorders and only includes those studies that evaluate diagnostic performance us

SUBMITTER: Jordan E 

PROVIDER: S-EPMC12521853 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature