Bezat Marie-Céline, Kronland-Martinet Richard, Roussarie Vincent, Ystad Sølvi
PSA Peugeot-Citroen, 2 route de Gisy 78943 Velizy-Villacoublay, France.
LMA, CNRS, UPR 7051, Aix-Marseille Univ, Centrale Marseille, F-13402 Marseille Cedex 20, France.
J Acoust Soc Am. 2014 Jul;136(1):226-41. doi: 10.1121/1.4883364.
This article describes the first part of a study aiming at adapting the mechanical car door construction to the drivers' expectancies in terms of perceived quality of cars deduced from car door sounds. A perceptual cartography of car door sounds is obtained from various listening tests aiming at revealing both ecological and analytical properties linked to evoked car quality. In the first test naive listeners performed absolute evaluations of five ecological properties (i.e., solidity, quality, weight, closure energy, and success of closure). Then experts in the area of automobile doors categorized the sounds according to organic constituents (lock, joints, door panel), in particular whether or not the lock mechanism could be perceived. Further, a sensory panel of naive listeners identified sensory descriptors such as classical descriptors or onomatopoeia that characterize the sounds, hereby providing an analytic description of the sounds. Finally, acoustic descriptors were calculated after decomposition of the signal into a lock and a closure component by the Empirical Mode Decomposition (EMD) method. A statistical relationship between the acoustic descriptors and the perceptual evaluations of the car door sounds could then be obtained through linear regression analysis.
本文描述了一项研究的第一部分，该研究旨在使机械车门结构符合驾驶员从车门声音推断出的对汽车感知质量的期望。通过各种听力测试获得了车门声音的感知地图，旨在揭示与诱发的汽车质量相关的生态和分析特性。在第一次测试中，非专业听众对五种生态特性（即坚固性、质量、重量、关闭能量和关闭成功率）进行了绝对评估。然后，汽车门领域的专家根据有机成分（锁、接头、门板）对声音进行分类，特别是是否能感知到锁机构。此外，一个由非专业听众组成的感官小组识别了表征声音的感官描述符，如经典描述符或拟声词，从而提供了声音的分析描述。最后，通过经验模态分解（EMD）方法将信号分解为锁和关闭两个分量后，计算了声学描述符。然后，通过线性回归分析，可以获得声学描述符与车门声音感知评估之间的统计关系。
