论文标题
关于使用音频特征对生理，评估和情感指标进行建模的见解
Insights on Modelling Physiological, Appraisal, and Affective Indicators of Stress using Audio Features
论文作者
论文摘要
压力是对幸福感的主要威胁，表现出各种生理和精神症状。利用受试者经历诱发应力发作时收集的语音样本，最近显示了自动表征单个应力反应的有希望的结果。在这项工作中，我们介绍了新发现，这些发现阐明了语音信号是否适合通过皮质醇测量获得的生理生物标志物进行建模，还是自我评估的评估并影响测量结果。我们的结果表明，不同的指标以多种方式影响声学特征，但是通过多任务架构可以有效利用它们的免费信息来提高所有这些信息的预测性能。
Stress is a major threat to well-being that manifests in a variety of physiological and mental symptoms. Utilising speech samples collected while the subject is undergoing an induced stress episode has recently shown promising results for the automatic characterisation of individual stress responses. In this work, we introduce new findings that shed light onto whether speech signals are suited to model physiological biomarkers, as obtained via cortisol measurements, or self-assessed appraisal and affect measurements. Our results show that different indicators impact acoustic features in a diverse way, but that their complimentary information can nevertheless be effectively harnessed by a multi-tasking architecture to improve prediction performance for all of them.
