Mixup-Breakdown: A Consistency Training Method For Improving Generalization Of Speech Separation Models

Deep-learning based speech separation models confront poor generalization problem that even the state-of-the-art models could abruptly fail when evaluating them in mismatch conditions. To address this problem, we propose an easy-to-implement yet effective
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