使用麦克风阵列、波场合成和套索最小化器进行健康和安全研究的声音环境再现

Philippe-Aubert Gauthier, A. Berry
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引用次数: 0

摘要

工业工作场所经常提供较差的可理解性和可听性警报。工作场所最重要的声音信号之一是倒车警报。与听不到这些警报器有关的事件从轻伤到死亡不等。知觉研究需要用适当的解决方案来减轻这种风险。由于很难在现场进行大规模的感知研究,工人声音环境的声场再现是一个有趣的途径。本文介绍了使用麦克风阵列、波场合成和套索最小化器(1范数正则化)来再现工作环境的声场。其目的是通过实验验证lasso提高空间对比度或精度的潜力,因为它有利于驱动信号的稀疏性。事实上,利用2范数正则化的反问题往往会产生空间模糊,从而导致非稀疏解。根据实验结果,准确再现工作环境的实验室声场是可能的。套索最小化器可以增强扬声器驱动信号的空间对比度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sound Environment Reproduction for Health and Safety Studies Using Microphone Arrays, Wave Field Synthesis and the Lasso Minimizer
Industrial workplaces often offer poor intelligibility and audibility of alarms. One of the most important sound signals on the workplace is the reversing alarm. Incidents related to the audibility of these alarms range from minor injuries to death. Perceptual studies are required to mitigate that risk with appropriate solutions. Since it is difficult to conduct large perceptual studies on site, sound field reproduction of workers' sound environments is an interesting avenue. This paper presents the sound field reproduction of working environments using microphone arrays, wave field synthesis, and the lasso minimizer (1-norm regularization). The aim is to experimentally verify the potential of the lasso to increase the spatial contrast, or precision, since it favors sparsity in the driving signals. Indeed, there is a spatial blur often obtained using inverse problem with 2-norm regularization which leads to non-sparse solution. At the light of the experimental results, accurate in-laboratory sound field reproduction of working environments is possible. The lasso minimizer can enhance the spatial contrast of the loudspeaker driving signal.
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