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低调的心理健康监测中的讲话分析方法

Speech Analysis Methodologies towards Unobtrusive Mental Health Monitoring
作者:Keng-hao Chang 作者单位:Electrical Engineering and Computer Sciences University of California at Berkeley 加工时间:2014-02-21 信息来源:EECS 索取原文[119 页]
关键词:声音编码;心理健康监测;精神健康监测器
摘 要:The human voice encodes a wealth of information about emotion, mood and mental states. With the advent of pervasively available speech collection methods (e.g. mobile phones) and the low-computation costs of speech analysis, it suggests that non-invasive, relatively reliable, and modestly inexpensive platforms are available for mass and long-term deployment of a mental health monitor. In the thesis, I describe my investigation pathway on speech analysis to measure a variety of mental states, including a ect and those triggered by psychological stress and sleep deprivation.
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