When Layer Selection Misleads Speech Depression Detection
It is argued nested model-selection protocols should be standard when probing encoder layer representations on small clinical speech datasets, and a fair comparison across representation families identifies a compact, task-aligned affect--prosody model as competitive with substantially more complex SSL, deep-learning,...
P. A. Pérez-Toro, David Gimeno-Gómez, D. Rückert et al.
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