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首页> 外文期刊>Journal of Emerging Technologies in Web Intelligence >Conversation Monitoring via Low-cost Speaker Diarization using Wearable Wireless Sensors
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Conversation Monitoring via Low-cost Speaker Diarization using Wearable Wireless Sensors

机译：使用可穿戴无线传感器通过低成本说话人隔离进行会话监控

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—This paper presents speaker diarization mechanisms using low-cost and low-resolution wearable wireless sensors. Speaker diarization is used for identifying speaking sequence and duration for all individuals engaged in a conversation session. The key advantage of the proposed mechanisms is their ability to monitor human conversation without having to perform energy- and processing-expensive speaker identification algorithms. A prototype system was constructed for experimental acoustic diarization using low-cost and low-resolution wearable sensors. It was experimentally demonstrated that an inexpensive threshold-based diarization mechanism can be used for conversation monitoring with acceptable accuracy. But for more detection accuracy, an acoustic comparatorbased diarization is applied. It was shown that comparatorbased diarization mechanism is able to consistently deliver significantly better acoustic detection performance than threshold-based mechanism in a more distance and noise independent manner. Controlled experiments using human subjects were carried out for evaluating diarization accuracy and the sensitivity to factors such as sampling rate and inter-speaker distance during conversations.
机译：—本文介绍了使用低成本和低分辨率可穿戴无线传感器的扬声器分离机制。说话者区分用于识别参与会话的所有个人的说话顺序和持续时间。所提出的机制的主要优点是它们能够监视人类对话而无需执行耗费能量和处理成本的说话人识别算法。使用低成本和低分辨率的可穿戴式传感器构建了一个用于实验声学区分的原型系统。实验证明，便宜的基于阈值的差异化机制可以以可接受的精度用于会话监视。但是为了获得更高的检测精度，应用了基于声学比较器的二值化技术。结果表明，与基于阈值的机制相比，基于比较器的差异化机制能够以更接近距离和噪声的方式始终如一地提供出色的声学检测性能。进行了以人类受试者为对象的对照实验，以评估对话过程中的分辨精度以及对诸如采样率和扬声器间距离之类的因素的敏感性。

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