Author

B. MacWhinney

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Preprint Sep 2026

Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training

As Alzheimer's disease (AD) has increasingly become a major global public health issue, speech-based AD detection has attracted widespread attention. However, most existing methods are trained and evaluated on a single dataset, often leading to severe cross-domain performance degradation due to reliance on dataset-spec...

Lu Sun, Shreeram Suresh Chandra, Aurosweta Mahapatra et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection

The role of speech preprocessing and dataset curation across widely used benchmarks for speech-based AD detection is revisited, suggesting that ``cleaner''speech datasets are not necessarily more reliable for real-world AD detection.

Lu Sun, S. Chandra, Lin Zhang et al. · 0 citations