Speech analysis for detecting depression in older adults: a systematic review

Speech analysis appears reliable, non-invasive, and cost-effective for detecting depression in older adults. Temporal, prosodic, and spectral features show strong diagnostic potential. Further research with larger, representative samples is required to validate speech-based biomarkers as complements to existing assessments.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-12-12
DOI
https://doi.org/10.3389/fpsyg.2025.1715538
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00

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article

Speech analysis for detecting depression in older adults: a systematic review

Frontiers in Psychology
Emotion and Mood Recognition
article

Speech analysis for detecting depression in older adults: a systematic review

article en

Abstract

Speech analysis appears reliable, non-invasive, and cost-effective for detecting depression in older adults. Temporal, prosodic, and spectral features show strong diagnostic potential. Further research with larger, representative samples is required to validate speech-based biomarkers as complements to existing assessments.

Frontiers in PsychologyVol. 16
Universidad de Salamanca (ES), Instituto de Estudios de Ciencias de la Salud de Castilla y León (ES), Universidad de Murcia (ES)
Ministerio de Ciencia, Innovación y Universidades
Openalex Percentile: Top 32%
Emotion and Mood Recognition
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