Unfolding dynamics in the perception of interior vehicle acoustics via continuous evaluation procedure (CEP)

Mara Münder, Gregor-Johannes Müller, Marius Raab, C. Carbon
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Abstract

The evaluation of a soundscape is a challenging task as the object of study is not a stationary event of sensation but rather a dynamic and complex scene stretching over a specific period. To do justice to the time dimension in such acoustic scenes, we utilized the Continuous Evaluation Procedure (CEP). Extending common standard instruments asking participants for a singular integral at the end of the sound experience (e.g., on a rating scale), the participants in this study were enabled to continuously evaluate the evolving acoustic scene of accelerating electrified vehicles (EVs) using CEP. With the increasing electrification of powertrains in the automotive industry, acoustic engineers face the challenge of defining innovative sounds using the availabilities of now low-noise emission platforms of EVs that deviate in their noise profiles from familiar but technologically outdated internal combustion engine vehicles (ICEVs), which have defined the general sound schemes for more than a century. To capture dynamic aspects in the quality perception of powertrain noise in EVs, we asked 37 participants to evaluate acoustic recordings of different vehicles in varying acceleration modes in a high-quality three-dimensional (3D) acoustic simulator. Thereby, we revealed much more detailed and time-dependent quality aspects, which do not come forth in an integral singular measure (ISM) where all impressions experienced during the ongoing acoustic scene are blended together. We, therefore, propagate the systematic application of the CEP method when it comes to the qualitative evaluation of transient acoustic scenes. CEP opens the great opportunity to unfold, detect, and analyze dynamic effects in soundscapes and noise profiles, but of any kind of acoustic signal.
通过连续评估程序(CEP)展现车内声学感知的动态变化
声景评估是一项具有挑战性的任务,因为研究对象不是一个静止的感官事件,而是一个在特定时间段内延伸的动态复杂场景。为了公正地评估此类声景的时间维度,我们采用了连续评估程序(CEP)。在本研究中,我们利用 CEP 扩展了常见的标准工具,要求参与者在声音体验结束时进行单一积分(如评分),从而使参与者能够持续评估电动汽车(EV)加速时不断变化的声音场景。随着汽车行业动力系统电气化程度的不断提高,声学工程师面临着如何利用电动汽车低噪声排放平台定义创新声音的挑战,电动汽车的噪声特征不同于人们熟悉但技术落后的内燃机汽车(ICEV),后者在一个多世纪以来一直定义着通用声音方案。为了捕捉电动汽车动力总成噪声质量感知的动态方面,我们请 37 位参与者在高质量的三维(3D)声学模拟器中评估不同车辆在不同加速模式下的声学录音。因此,我们发现了更为详细的、与时间相关的质量问题,而这些问题并没有出现在整体单一测量(ISM)中,因为在整体单一测量中,正在进行的声学场景中体验到的所有印象都被混合在了一起。因此,我们提倡在对瞬态声音场景进行定性评估时,系统地应用 CEP 方法。CEP 为展开、检测和分析声景和噪声剖面中的动态效果,以及任何类型的声学信号提供了绝佳的机会。
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