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Synthetic speech detection is critical for audio security, but performance can degrade when labeled data are scarce and evaluation conditions differ from training. This study examines quantum kernel methods and lightweight neural models for cross-corpus audio deepfake detection under limited training data. We compare a...
Overall, the results position MILES as a robust and generalizable alternative to conventional boosting, bagging, and cost-sensitive ensembles for multiclass imbalanced learning.
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