Multilingual Detection of Alzheimer's Disease from Speech: A Cross-Linguistic Transfer Learning Approach

In three linesMultilingual Alzheimer's Disease detection from speech using cross-linguistic transfer learning. Transformer-based models trained on English, Chinese, Arabic, and Hindi achieve 82% F1 score with strong cross-language generalization. 0.5-second inference time enables real-time screening applications.

Summary generated by Claude — human-verified