A multimodal system combining acoustic, textual, and LLM-extracted features reports 74% accuracy for adolescent suicide risk detection on the SW1 challenge test set.
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Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection
A multimodal system combining acoustic, textual, and LLM-extracted features reports 74% accuracy for adolescent suicide risk detection on the SW1 challenge test set.