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Pathological markers for Alzheimer's may mislead diagnostic AI, particularly for Greek and male speakers, revealing critical demographic gaps in acoustic biomarker effectiveness.
ASR-driven data augmentation boosts Alzheimer's detection accuracy by over 4%, showcasing the potential of synthetic speech in clinical diagnostics.
The landscape of text adversarial attacks and defenses is now systematically mapped, revealing critical gaps in NLP model robustness.
