Abstract: The challenges of class-imbalance and partially unknown training labels often arise in fault detection tasks. When these two problems occur simultaneously, existing imbalanced classification ...
Abstract: Existing deep learning models for spoofing speech detection often struggle to effectively generalize to unseen spoofing attacks that were not present during the training stage. Moreover, the ...
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