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提高透明面罩和盾牌的测量和声学性能。

Improving the measurement and acoustic performance of transparent face masks and shields.

机构信息

Acoustics Research Centre, University of Salford, Salford, M5 4WT, United Kingdom.

Maker Space, University of Salford, Salford, M5 4WT, United Kingdom.

出版信息

J Acoust Soc Am. 2022 May;151(5):2931. doi: 10.1121/10.0010384.

Abstract

Opaque face masks harm communication by preventing speech-reading (lip-reading) and attenuating high-frequency sound. Although transparent masks and shields (visors) with clear plastic inserts allow speech-reading, they usually create more sound attenuation than opaque masks. Consequently, an iterative process was undertaken to create a better design, and the instructions to make it are published. The experiments showed that lowering the mass of the plastic inserts decreases the high-frequency sound attenuation. A shield with a clear thermoplastic polyurethane (TPU) panel had an insertion loss of (2.0 ± 1.1) dB for 1.25-8 kHz, which improves on previous designs that had attenuations of 11.9 dB and above. A cloth mask with a TPU insert was designed and had an insertion loss of (4.6 ± 2.3) dB for 2-8 kHz, which is better than the 9-22 dB reported previously in the literature. The speech intelligibility index was also evaluated. Investigations to improve measurement protocols that use either mannikins or human talkers were undertaken. Manufacturing variability and inconsistency of human speaking were greater sources of experimental error than fitting differences. It was shown that measurements from a mannikin could match those from humans if insertion losses from four human talkers were averaged.

摘要

不透明的口罩通过阻止言语阅读(唇读)和减弱高频声音来阻碍交流。虽然带有透明塑料插件的透明口罩和盾牌(遮阳板)可以进行言语阅读,但它们通常会比不透明口罩产生更多的声音衰减。因此,进行了迭代设计来创造更好的设计,并发布了制作说明。实验表明,降低塑料插件的质量会降低高频声音衰减。带有透明热塑性聚氨酯 (TPU) 面板的盾牌在 1.25-8 kHz 时的插入损耗为 (2.0 ± 1.1) dB,优于之前报道的衰减超过 11.9 dB 的设计。设计了一种带有 TPU 插件的布制口罩,在 2-8 kHz 时的插入损耗为 (4.6 ± 2.3) dB,优于文献中之前报道的 9-22 dB。还评估了语音清晰度指数。进行了改进使用语音模型或人类说话者的测量协议的研究。制造变异性和人类说话的不一致性是实验误差的更大来源,而不是拟合差异。结果表明,如果平均四个人类说话者的插入损耗,来自语音模型的测量结果可以与来自人类的测量结果相匹配。

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