Vocal Dynamics
The analysis focused on interpretable nonlinear biomarkers from vocal trajectories instead of end-to-end deep learning on raw audio. In conversational vocal dynamics, recurrence may reflect organization of vocal state transitions, articula…
1 sources - 4 claims
The analysis focused on interpretable nonlinear biomarkers from vocal trajectories instead of end-to-end deep learning on raw audio. In conversational vocal dynamics, recurrence may reflect organization of vocal state transitions, articulation, prosodic regulation, and glottal-acoustic control. Altered recurrence in depression is interpreted as potentially reflecting changes in vocal flexibility, psychomotor regulation, or attractor-like organization. The study used frame-level vocal trajectories as the primary modeling unit.