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eess.AS2026
When Layer Selection Misleads Speech Depression Detection
Paula A. Perez-Toro, David Gimeno-Gómez, Daniel Rückert +1
Pretrained speech representations are increasingly used for depression detection, but selecting the best encoder layer on the same data used for evaluation biases reported performa…
eess.AS2026
Bias and Fairness in Self-Supervised Acoustic Representations for Cognitive Impairment Detection
Kashaf Gulzar, Korbinian Riedhammer, Elmar Nöth +2
Speech-based detection of cognitive impairment (CI) offers a promising non-invasive approach for early diagnosis, yet performance disparities across demographic and clinical subgro…