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Vehicle Interior Sound Quality Analysis by Using Grey Relational Analysis

机译:基于灰色关联分析的汽车内部音质分析

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In this paper, the relationship was investigated between objective psychoacoustic parameters, A-weighted sound pressure level (SPL) and the results of the subjective evaluation by using grey relational analysis (GRA). The sounds were recorded with eight different passenger cars at four different running conditions. The sound quality indices were calculated, including loudness, sharpness, roughness, fluctuation, and A-weighted SPL. Subjective evaluation was performed by thirty subjects using rating scale method. GRA was compared with traditional correlation analysis, and the comparison shows that some hidden information which could not be found in the traditional correlation analysis was revealed. In order to know the further relationship between fluctuation and subjective evaluation, another subjective evaluation was performed by the same 30 subjects. The result demonstrates that the relationship revealed from GRA is correct. Furthermore, some measures were presented to improve the sound quality of vehicle interior noise. Both of the improved measures were applied on one of the test vehicles, and the comparison between the sound quality indices of the original and improve vehicles shows that the sound quality can be improved effectively based on GRA.
机译:本文运用灰色关联分析法(GRA)研究了客观心理声学参数,A加权声压水平(SPL)与主观评价结果之间的关系。在八种不同的行驶条件下,八辆不同的客车记录了声音。计算了声音质量指标,包括响度,清晰度,粗糙度,起伏和A加权SPL。使用评级量表法对三十名受试者进行主观评估。将GRA与传统的相关分析进行了比较,比较结果显示了一些在传统的相关分析中找不到的隐藏信息。为了了解波动与主观评价之间的进一步关系,对相同的30名受试者进行了另一次主观评价。结果表明,GRA揭示的关系是正确的。此外,提出了一些措施来改善车辆内部噪声的声音质量。两种改进措施均应用于其中一辆测试车辆,原始车辆和改进车辆的声音质量指标的比较表明,基于GRA可以有效地改善声音质量。

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