Temporal Vocal Biomarkers
Cross-source consensus on Temporal Vocal Biomarkers from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Preparation
Highlighted claims
- The study tested whether depression-related information appears in temporal properties of acoustic behavior rather than only in averages. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
- Trajectory dynamical biomarkers included slope, first-difference variability, volatility, trend reversals, entropy, and lag-1 autocorrelation. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
- The study interprets depression-related speech signal as partly temporal and distributional instead of purely static. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
- Temporal descriptors improved cross-validated ROC-AUC compared with static pooling. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection