Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine

arXiv:2404.12132v1 Announce Type: cross
Abstract: The delayed access to specialized psychiatric assessments and care for patients at risk of suicidal tendencies in emergency departments creates a notable gap in timely intervention, hindering the provision of adequate mental health support during critical situations. To address this, we present a non-invasive, speech-based approach for automatic suicide risk assessment. For our study, we have collected a novel dataset of speech recordings from $20$ patients from which we extract three sets of features, including …

abstract access arxiv assessment automated cs.cl cs.sd eess.as emergency gap health medicine mental health patients risk risk assessment speech suicide support type