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Quantification of the Voicescape: A Person-centric Approach to Describing Real-life Behaviour Patterns - A Case Study Comparing Two Age Groups

机译:VOISECAPE的量化:以人为本的描述真实行为模式的方法 - 一种比较两个年龄组的案例研究

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The human voice is a fundamental part of the everyday auditory environment. A measure of all voice activity that a person produces or perceives in the environment, i.e., the person's voicescape, might provide an informative, low cost, ecologically valid, and person-centric approach to characterizing patterns of socially-relevant behaviour in real life. In this paper, we use the measure ratio of voice activity (rva) and present results of data acquired from N=20 subjects of 2 different age groups as they engaged in their usual daily life activities over 4 consecutive days. The data show no differences in total voice activity but significant between-group differences in its daily distribution. We propose that measurement of the voicescape can, even without knowledge of specific voice sources, serve as a useful indicator of person- or group specific activity patterns for purposes of describing significant aspects of variation and within- and between-group differences in patterns of everyday behaviour and, potentially, for identifying change in patterns that have health-related implications. Future work will target automatic detection and identification of voice sources and the use of privacy-preserving processing methods.
机译:人类的声音是日常听觉环境的基本部分。所有语音活动,一个人产生或感知到环境的措施,即人的voicescape,可能提供一个内容丰富,成本低,生态有效的,以个人为中心的方法来在现实生活中表征社会相关的行为模式。在本文中,我们使用语音活动(RVA)的测量比率,并从N = 20个受试者获取的数据的数据结果,因为他们连续4天从事通常的日常生活活动。数据显示在其日常分布中的组间差异之间没有差异。我们建议voicescape罐头的测量,即使没有具体的声音来源的知识,充当人─或组特定活动模式的有用指标用于描述变化显著方面和内和组间在日常的模式的差异的目的行为和可能是识别具有与健康有关的模式的模式的变化。未来的工作将针对语音来源的自动检测和识别以及使用隐私保留处理方法。

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