Feeding noisy and enhanced speech together into a speaker encoder with EMA adaptation from clean pre-training improves recognition accuracy under noise.
Diff-SV: A unified hierarchical framework for noise-robust speaker verifi- cation using score-based diffusion probabilistic models,
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UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition
Feeding noisy and enhanced speech together into a speaker encoder with EMA adaptation from clean pre-training improves recognition accuracy under noise.