What is it about?
Our goal is to improve methods of quantifying tonal noise from heating, ventilation, and air-conditioning systems and then to use those methods toward improving the prediction of annoyance caused by such noise. This paper present results from two studies: one using multidimensional scaling (MDS) analysis to determine important perceptual characteristics from tonal noise signals, and the other using perceptual weight analysis (PWA) to understand the impact of multiple tones in a signal (which is common).
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Why is it important?
Assorted indoor noise criteria are used to qualify acceptable noise levels in indoor environments, but they do not always account well for noise with tonal components, as are commonly generated from heating, ventilation, and air-conditioning systems. Our work helps towards tying objective metrics reliably to subjective perception, particularly when the noise includes troublesome tones.
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This page is a summary of: Investigating multidimensional characteristics of noise signals with tones from building mechanical systems and their effects on annoyance, The Journal of the Acoustical Society of America, January 2020, Acoustical Society of America (ASA), DOI: 10.1121/10.0000487.
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