Cross-linguistic model for Alzheimer's detection from speech proposed

Arxiv CS.CL (NLP/language models)

A new approach using transfer learning enables multilingual Alzheimer's disease detection from speech, reducing the need for language-specific model training. The paper explores cross-linguistic transfer to improve detection across languages.

Arxiv CS.CL (NLP/language models)·Nadine Yasser AbdelhalimEmmanuel AkinrintoyoNicole Salomons

6 days ago