Interior Sound Field Subjective Evaluation Based on the 3D Distribution of Sound Quality Objective Parameters and Sound Source Localization
1
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
2
College of Science, Zhejiang University of Technology, Hangzhou 310023, China
*
Author to whom correspondence should be addressed.
Materials 2021, 14(2), 429; https://doi.org/10.3390/ma14020429
Received: 27 December 2020
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Revised: 11 January 2021
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Accepted: 13 January 2021
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Published: 16 January 2021
(This article belongs to the Section Advanced Materials Characterization)
Controlling low frequency noise in an interior sound field is always a challenge in engineering, because it is hard to accurately localize the sound source. Spherical acoustic holography can reconstruct the 3D distributions of acoustic quantities in the interior sound field, and identify low-frequency sound sources, but the ultimate goal of controlling the interior noise is to improve the sound quality in the interior sound field. It is essential to know the contributions of sound sources to the sound quality objective parameters. This paper presents the mapping methodology from sound pressure to sound quality objective parameters, where sound quality objective parameters are calculated from sound pressure at each specific point. The 3D distributions of the loudness and sharpness are obtained by calculating each point in the entire interior sound field. The reconstruction errors of those quantities varying with reconstruction distance, sound frequency, and intersection angle are analyzed in numerical simulation for one- and two-monopole source sound fields. Verification experiments have been conducted in an anechoic chamber. Simulation and experimental results demonstrate that the sound source localization results based on 3D distributions of sound quality objective parameters are different from those based on sound pressure.
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MDPI and ACS Style
Jin, J.; Cheng, H.; Xie, T.; Lu, H. Interior Sound Field Subjective Evaluation Based on the 3D Distribution of Sound Quality Objective Parameters and Sound Source Localization. Materials 2021, 14, 429. https://doi.org/10.3390/ma14020429
AMA Style
Jin J, Cheng H, Xie T, Lu H. Interior Sound Field Subjective Evaluation Based on the 3D Distribution of Sound Quality Objective Parameters and Sound Source Localization. Materials. 2021; 14(2):429. https://doi.org/10.3390/ma14020429
Chicago/Turabian StyleJin, Jiangming, Hao Cheng, Tianwei Xie, and Huancai Lu. 2021. "Interior Sound Field Subjective Evaluation Based on the 3D Distribution of Sound Quality Objective Parameters and Sound Source Localization" Materials 14, no. 2: 429. https://doi.org/10.3390/ma14020429
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