• CN:11-2187/TH
  • ISSN:0577-6686

›› 2011, Vol. 47 ›› Issue (24): 91-96.

• 论文 • 上一篇    下一篇

基于伪WIGNER-VILLE分布的汽车关门声品质评价参数研究

杨川;于德介   

  1. 湖南大学汽车车身先进设计制造国家重点实验室
  • 发布日期:2011-12-20

Research on the Sound Metric of Door Slamming Sound Based on Pseudo WIGNER-VILLE Distribution

YANG Chuan;YU Dejie   

  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University
  • Published:2011-12-20

摘要: 汽车关门声品质评价是汽车噪声、振动和声振粗糙度 (Noise vibration and harshness,NVH)的重要研究内容之一。针对汽车关门声品质评价问题,基于伪WIGNER-VILLE分布,研究提出一个新的声品质评价参数——基于伪WIGNER-VILLE分布的声品质评价参数(Sound metric based on pseudo WIGNER-VILLE distribution,SMPWVD)。在进行汽车关门声品质评价时,先采集汽车关门声音信号,计算其伪WIGNER-VILLE分布,再对得到的伪WIGNER-VILLE分布系数进行数值处理,即可得到新的声品质评价参数——SMPWVD。为评价该参数的有效性,将该参数与传统的声品质评价参数(响度,尖锐度)一起,分别与主观评价试验得出的关门声品质偏好性绩效值进行相关性分析。结果表明,所提出的新评价参数SMPWVD与声品质主观偏好性绩效值有更高的相关性,能更准确地评价汽车关门声品质。

关键词: 尖锐度, 声品质, 声品质评价参数, 响度

Abstract: The sound metric of the door-slamming sound quality has become one of the important researches in vehicle noise vibration and harshness(NVH). Aiming at the problem of sound quality evaluation of door-slamming,a new sound metric sound metric based on pseudo WIGNER-VILLE distribution(SMPWVD) is developed based on pseudo WIGNER-VILLE distribution. First,the sound signals of door-slamming are sampled and transformed by pseudo WIGNER-VILLE distribution;and then,the new sound metric SMPWVD is calculated based on the pseudo WIGNER-VILLE distribution coefficients of sampled sound signals of door-slamming. In order to verify the effectiveness of the new sound metric,the correlation coefficients have been calculated respectively between two conventional sound metrics(loudness, sharpness) and the subjective sound quality preference of door-slamming, as well as the new sound metric and the subjective sound quality preference of door-slamming. The result shows that the new sound metric proposed has the higher correlation with the subjective sound quality preference,so the new sound metric can evaluate the door-slamming sound quality more accurately。

Key words: Loudness, Sharpness, Sound metric, Sound quality

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