你在听吗?-一项观察性唤醒词隐私研究

Marcia Combs, Casey Hazelwood, Randall Joyce
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引用次数: 2

摘要

目的数字语音助手使用唤醒词引擎(wwe)来监测周围的音频,以检测语音助手的名字。WWE有两种失败的情况,假阴性和假阳性。唤醒词误报威胁到个人隐私的丧失,因为在激活后,数字助理将音频记录到语音云服务进行处理。设计/方法/方法本观察性研究试图确定哪种亚马逊Alexa唤醒词和亚马逊Echo智能扬声器导致的人声误报次数最少。在八周的时间里,研究人员从一个小公寓里的四个不同的亚马逊Echo智能音箱中收集了假阳性数据,这些音箱有三个女室友。这项研究的结果表明,人类语音误报的数量与唤醒词选择和亚马逊Echo硬件有关。这项观察性研究的结果确定,唤醒词Alexa导致的误报数量最少。独创性/价值这项研究表明,亚马逊Alexa用户可以更好地保护自己的隐私,选择Alexa作为他们的唤醒词,选择360度几何远场阵列中麦克风数量最多的智能扬声器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are you listening? – an observational wake word privacy study
PurposeDigital voice assistants use wake word engines (WWEs) to monitor surrounding audio for detection of the voice assistant's name. There are two failed conditions for a WWE, false negative and false positive. Wake word false positives threaten a loss of personal privacy because, upon activation, the digital assistant records audio to the voice cloud service for processing.Design/methodology/approachThis observational study attempted to identify which Amazon Alexa wake word and Amazon Echo smart speaker resulted in the fewest number of human voice false positives. During an eight-week period, false-positive data were collected from four different Amazon Echo smart speakers located in a small apartment with three female roommates.FindingsResults from this study suggest the number of human voice false positives are related to wake word selection and Amazon Echo hardware. Results from this observational study determined that the wake word Alexa resulted in the fewest number of false positives.Originality/valueThis study suggests Amazon Alexa users can better protect their privacy by selecting Alexa as their wake word and selecting smart speakers with the highest number of microphones in the far-field array with 360-degree geometry.
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