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Design of approach informing sound for quiet vehicles that indicates a car traveling

机译:指示车辆行驶的安静车辆接近声音的设计

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Quiet vehicles, such as hybrid and electric vehicles, emit less noise than vehicles having an internal-combustion engine, particularly at low speeds. To prevent accidents resulting from this quietness, acoustic vehicle alerting system has been designed to create approach informing sounds. However, a questionnaire survey that we conducted previously revealed that the recognition rate of the approach informing sound was not high (about 40%). To improve the recognition of the approach informing sound, we designed approach informing sounds using onomatopoeic sounds and evaluated them using an evaluation grid method for carlike sounds. We first obtained onomatopoeic sounds that reflected pedestrians' images of approach informing sounds for quiet vehicles. The obtained onomatopoeic sounds frequently included the vowel "u," the consonants "p" and "b," and long tones. According to acoustic characteristics of the obtained onomatopoeic sounds (such as the fundamental frequency and roughness), we created four sound stimuli as samples of approach informing sound. We conducted an experiment using these sound stimuli and an evaluation grid method to examine the factors that affect the perception of car-like sounds as approach informing sounds. We found that sounds that replicated road noise tended to be evaluated highly as indicative of a car traveling on a road and they are thus suitable for approach informing sounds.
机译:安静的车辆,例如混合动力和电动车辆,比具有内燃机的车辆发出的噪音要少,尤其是在低速行驶时。为了防止由于这种安静而导致的事故,设计了声学车辆警报系统来创建通知声音的方法。但是,我们之前进行的一项问卷调查显示,通知声音的方法的识别率不高(约40%)。为了提高对方法声音的识别,我们设计了拟声声音方法,并使用评估栅格方法对汽车声音进行了评估。我们首先获得了拟声声音,该声音反映出行人的进近图像,从而为安静的车辆提供了声音。获得的拟声声音通常包括元音“ u”,辅音“ p”和“ b”以及长音。根据获得的拟声声音的声学特征(例如基波频率和粗糙度),我们创建了四个声音刺激作为逼近声音的样本。我们使用这些声音刺激和评估网格方法进行了一项实验,以检查影响汽车声音作为感知声音的因素。我们发现,复制道路噪声的声音往往被高度评价,以指示汽车在道路上行驶,因此它们适合于进场通知声音。

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