通过分析年轻人日常语音，识别抑郁风险早期迹象。
Using voice analysis as an early indicator of risk for depression in young adults
- 从日常语音中提取声学特征，检测情绪波动差异。
- 发现语音频谱能量分布存在显著差异，与抑郁风险相关。
- 适合心理健康筛查、无感监测场景，尤其适用于年轻群体。
越来越多的研究表明，抑郁症患者与健康对照组在语音质量上存在差异。本文基于欧洲多国合作项目ECoWeB，研究语音分析作为青年群体情绪障碍早期预警的可行性。通过对参与者的每日情绪语音报告进行大量声学特征分析，发现语音频谱能量分布等声学线索存在显著差异，提示其可作为非侵入式风险指标。该方法对年轻成人尤为重要，因他们常不表现出典型抑郁风险因素（如负面生活经历）。研究结果为开发无感化心理风险监测技术提供了支持。
原文摘要 · Abstract (English)
Increasingly frequent publications in the literature report voice quality differences between depressed patients and controls. Here, we examine the possibility of using voice analysis as an early warning signal for the development of emotion disturbances in young adults. As part of a major interdisciplinary European research project in four countries (ECoWeB), examining the effects of web-based prevention programs to reduce the risk for depression in young adults, we analyzed a large number of acoustic voice characteristics in vocal reports of emotions experienced by the participants on a specific day. We were able to identify a number of significant differences in acoustic cues, particularly with respect to the energy distribution in the voice spectrum, encouraging further research efforts to develop promising non-obtrusive risk indicators in the normal speaking voice. This is particularly important in the case of young adults who are less likely to exhibit standard risk factors for depression such as negative life experiences.
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