Topic: alzheimer's disease

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Friday, September 11, 2026

research40

LLM-Anchored Paralinguistic Enrichment for Alzheimer's Disease Detection

A new method using language models to analyze paralinguistic features in speech shows promise for detecting Alzheimer's disease early through non-invasive means, focusing on atypical pauses and word elongation. This approach could offer a scalable solution for cognitive screening.

arxiv.org

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