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Johns Hopkins University
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Cleaner speech datasets may boost in-domain performance but can undermine generalization, revealing a hidden cost in Alzheimer's detection models.
Current speech deepfake detection systems falter dramatically against emotionally expressive attacks, with performance dropping to near-random levels on the new AffectDF benchmark.
