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Source-Directed Trajectory Perturbation at First-Order Cost for Domain Generalization in Speech Deepfake Detection

Qin, Siqing et al.
arXiv (All) · Papers
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audio-and-speech-processing
Speech deepfake detectors often lose accuracy when the distribution of the test data differs from that of the training data. Meta-learning for domain generalization (MLDG) shows promise by simulating domain shifts with episodic meta-train and meta-test splits. However, the MLDG meta-objective consid
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