CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models
A layer-calibrated aggregation variant that applies per-layer adapters before pooling is evaluated, which improves the robustness of multi-layer fusion and narrows the gap to full fine-tuning while keeping the backbone frozen.
A. I. Ferreira, Pedro Lustosa Rege Botelho, Fernanda Silva et al.
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