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Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilities

2025-05-13

Abstract excerpt

<title>Abstract</title> <p>Large Language Models (LLMs) offer potential solutions for scalable depression detection across diverse populations. This study evaluates LLM-based speech content analysis for multilingual depression detection in clinical and general populations. We analyzed speech transcripts from three distinct cohorts: Chinese clinical (n = 52), Italian clinical (n = 116), and French general populati...

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Literature Corpus work
258499a1-a619-50e0-84a8-d6bc00556028
DOI
10.21203/rs.3.rs-6594999/v1
Open publication

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Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilitiesDOI 10.21203/rs.3.rs-6594999/v1
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