Recurrence-based biomarkers from vocal dynamics classify depression with mean cross-validated AUC 0.689, outperforming static acoustic baselines and other dynamic features with p=0.004.
Physiological time-series analysis using approximate entropy and sample entropy.American Journal of Physiology, 278:H2039–H2049
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Recurrence-Based Nonlinear Vocal Dynamics as Digital Biomarkers for Depression Detection from Conversational Speech
Recurrence-based biomarkers from vocal dynamics classify depression with mean cross-validated AUC 0.689, outperforming static acoustic baselines and other dynamic features with p=0.004.