LLM system with paralinguistic cue injection and auxiliary reasoning training reaches 0.802 macro F1 and 0.805 accuracy on three-class speech-based crisis level classification under 5-fold cross-validation.
Acoustic features for identifying suicide risk in crisis hotline callers: Ma- chine learning approach
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Speech-based Psychological Crisis Assessment using LLMs
LLM system with paralinguistic cue injection and auxiliary reasoning training reaches 0.802 macro F1 and 0.805 accuracy on three-class speech-based crisis level classification under 5-fold cross-validation.