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The sharp kink in SI-SDR degradation reveals critical insights into the interplay between predictor outputs and noise-power mismatch in speech enhancement models.
Self-supervised representations can boost diffusion-based speech enhancement, yielding a significant 0.4 improvement in PESQ scores.
