用青少年语音分析识别自杀风险，助力早期干预
The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents
- 通过自然对话语音提取心理状态特征
- 覆盖600名10-18岁青少年的语音数据集
- 适合心理健康与语音分析交叉研究者
首届SpeechWellness挑战（SW1）旨在利用语音分析技术提升对青少年当前自杀风险的检测能力。青少年自杀是全球性的重大公共卫生问题，早期识别可促进及时干预、挽救生命。传统评估依赖自述或临床访谈，常受限于可及性。本挑战通过释放包含600名10-18岁青少年的语音数据集，探索自然任务中生成的语音作为心理健康非侵入性指标的潜力，挖掘与当前自杀风险相关的语音模式与特征。
原文摘要 · Abstract (English)
The 1st SpeechWellness Challenge (SW1) aims to advance methods for detecting current suicide risk in adolescents using speech analysis techniques. Suicide among adolescents is a critical public health issue globally. Early detection of suicidal tendencies can lead to timely intervention and potentially save lives. Traditional methods of assessment often rely on self-reporting or clinical interviews, which may not always be accessible. The SW1 challenge addresses this gap by exploring speech as a non-invasive and readily available indicator of mental health. We release the SW1 dataset which contains speech recordings from 600 adolescents aged 10-18 years. By focusing on speech generated from natural tasks, the challenge seeks to uncover patterns and markers that correlate with current suicide risk.
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