摘要
以摩托车在不同发动机转速下驾驶员耳旁的声样本为评价对象,运用分组成对比较法进行偏好性主观评价实验,并在精确计算评价结果误判率的基础上,通过相关分析和多元回归分析,建立以心理声学参数描述偏好性主观评价结果的数学模型。研究结果表明,响度和粗糙度是影响摩托车噪声主观偏好性的主要参量,与线性数学模型相比,采用非线性数学模型可以更好地表达摩托车噪声主观偏好性与心理声学参数之间的关系。
Noise samples of motorcycles at different engine speeds taken at the position of the ear of a motorcycle operator are selected as the evaluation stimuli to investigate sound preferences of motorcycle sound quality. Subjective testing is carried out via the paired comparison method. Precise calculation of the misjudging rate is adopted to ensure test result reliability. Formulae between subjective preference scores and psychoacoustic parameters are obtained through linear correlation and muhi-dimensional regression analysis. The results indicate that loudness and roughness are two predominant metrics influencing preference evaluation for motorcycle noise, and the nonlinear equation better describes the dependence of subjective preference scores on psychoacoustic parameters than the linear one.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第3期283-287,共5页
Journal of Chongqing University
基金
重庆市科委科技计划攻关资助项目(CSTC
2007AA6006-3)
中国博士后科学基金资助项目(20070410772)
关键词
声品质
主观评价
偏好性
成对比较
sound quality
subjective evaluation
preference
paired comparison
