Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training
A novel unsupervised domain adaptation method, Iterative Adversarial Self-Training (IAST), is proposed and results demonstrate that IAST significantly improves the generalization ability and robustness under various cross-domain settings.