人群分类与车内噪声声品质主观评价研究
Listener clustering and subject assessment of car interior noise quality
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摘要: 本文以等响处理后的车内噪声为研究对象,进行噪声声品质的主观评价研究。研究发现,人群分类处理对于揭示噪声声品质的主观感知属性起着重要的作用。对于评价者分类处理之后,两类评价者对于车内噪声的偏好性均可采用一个维度表示,并可直接采用成对比较法的直接排序法获得;一类评价者的偏好性与低沉度成正比,而另一类评价者与低沉度成反比。如果未进行人群分类处理,则不能很好地解释其主观感知属性。Abstract: With loudness-adjusted car interior noise as sound stimuli, this work focused on listener′s property to subjective assessment of car interior noise quality. It is presented that listener clustering is very important to disclose the subjective perceptual structure of strong consistent car interior noise. It′s revealed that: for the descriptor 'preference', listeners should be divided into two groups. For group one, 'preference' has positive relation with descriptor 'low-frequency'; while for group two, 'preference' has negative relation with descriptor 'low-frequency'. And the perceptual structure can′t be revealed properly without listeners clustering.