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Author

N. N. A. Sjarif

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Conference Sep 2026

Feature Representation Effects in Transformer Model for Speech-Based Depression Detection

Speech-based depression detection has increasingly explored self-supervised speech representations; however, their effectiveness in low-resource clinical and non-English settings remains insufficiently understood. This study investigates the impact of feature representation on depression detection using a fixed Transfo...

Nur Nesa Nashuha Ismail, N. F. M. Azmi, N. N. A. Sjarif et al. · 0 citations
Open access 2026

Interpretable Transformer-Based Depression Detection in Low-Resource Malay Speech Using SHAP-Based Feature Analysis

Speech-based depression detection has emerged as a scalable and non-invasive approach for mental health assessment; however, the clinical relevance of self-supervised speech representations remains insufficiently understood, particularly in low-resource languages. This study investigates the interpretability of feature...

Nur Nesa Nashuha Ismail, N. F. M. Azmi, N. N. A. Sjarif et al. · 0 citations

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