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What Actually Makes Correlation-Based SSL Distillation Noise-Robust? A Mechanistic Correction
Self-supervised learning (SSL) speech models are accurate but large. Knowledge distillation compresses them, but the student loses the teacher's noise robustness. Correlation-based distillation addresses this with two terms: cross-correlation aligning student and teacher's representations, and self-
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