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Train noise - A psychoacoustic investigation for indoor aural comfort in high-rise urban environment in the tropics

机译:火车噪声-热带高层城市环境中室内听觉舒适度的心理声学调查

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Despite of many research on the assessment of negative impact (i.e. annoyance) of indoor aural environment, very limited research effort have been made on the positive assessment (i.e. aural comfort) of aural environment in residential settings subjected to environmental noise sources. Noise annoyance has often been related to different energy-based acoustical indicators such as L_(Aeq), L_(DEN) etc. which are unable to consider the temporal and spectral patterns of the complex noise environment. The indoor aural environment has rarely been examined for different psychoacoustic quantities, the influence of which are still unknown on indoor aural comfort subjected to environmental noise sources specially in high-rise urban built-up settings. This research investigates the indoor aural comfort in high-rise naturally ventilated residential dwellings in Singapore subjected to Train Noise. A psychoacoustic experiment was carried out to examine the indoor aural comfort and relating it with different psychoacoustic indices. Loudness, Sharpness and Roughness were found significantly correlated with the assessment of 'Noisiness' and 'Noise Disturbance' in indoor environment. Train noise with a maximum Loudness of 8 Sone, mean Sharpness of 1.25 Acum and maximum Roughness of 33 centi-Asper were found attributing to a 'quiet' indoor aural environment. This paper presents statistical models developed for subjective 'noisiness' and 'disturbances' and discusses their relationships with these psychoacoustic quantities.
机译:尽管对室内听觉环境的负面影响(即烦恼)的评估已进行了许多研究,但是在受到环境噪声源影响的住宅环境中,对听觉环境的正面评估(即听觉舒适度)的研究工作非常有限。噪声烦恼通常与不同的基于能量的声学指标(例如L_(Aeq),L_(DEN)等)有关,这些指标无法考虑复杂噪声环境的时间和频谱模式。很少针对不同的心理声学量检查室内听觉环境,尤其是在高层城市建筑环境中,受到环境噪声源影响的室内听觉舒适度对室内听觉舒适性的影响仍然未知。这项研究调查了在受到火车噪音影响的新加坡高层自然通风住宅中的室内听觉舒适度。进行了心理声学实验,以检查室内听觉舒适度并将其与不同的心理声学指标相关联。发现响度,清晰度和粗糙度与室内环境中的“噪音”和“噪音干扰”评估显着相关。发现火车噪音最大响度为8 Sone,平均清晰度为1.25 Acum,最大粗糙度为33 cent-Asper,归因于“安静”的室内听觉环境。本文介绍了针对主观“嘈杂”和“干扰”而开发的统计模型,并讨论了它们与这些心理声学量的关系。

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