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SOUND PREFERENCE DEVELOPMENT AND CORRELATION TO SERVICE INCIDENCE RATE

机译:声音偏好的发展及其与服务发生率的关系

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摘要

Traditional methods of sound performance measurement for appliances (A-weighted sound power) provide an incomplete picture of the customer’s experience. This is often exemplified by the poor correlation between sound power and customer complaints.rnIn order to satisfy customer demands for better sounding refrigeration appliances, Sub-Zero needed to gain a better understanding of customer’s perception of sounds generated by the appliance. This was accomplished by conducting a formal Sound Quality jury evaluation and by correlating objective signal processing parameters (Sound Quality metrics) computed over the sounds presented to the jurors to their subjective ranking. The direct result of the study was a sound preference algorithm utilizing several sound quality metrics (rather than simply sound power) that represented the customer’s perception of the sounds.rnThe data generated by the preference algorithm were then correlated with field data to identify performance acceptance thresholds. This rearward looking analysis provided a basis for establishing market-driven product sound preference targets for new product development.
机译:家电的传统声音性能测量方法(A加权声功率)不能完全反映客户的体验。声音功率与客户投诉之间的关联性不佳通常可以说明这一点。为了满足客户对更好的制冷设备声音的需求,Sub-Zero需要更好地了解客户对设备产生的声音的感知。这是通过进行正式的声音质量陪审团评估,并将对呈现给陪审员的声音计算出的客观信号处理参数(声音质量指标)与其主观排名相关联来实现的。该研究的直接结果是一种声音偏好算法,该算法利用了代表顾客对声音感知的几种音质指标(而不是简单的声功率)。rn然后,将偏好算法生成的数据与现场数据进行关联,以确定性能接受阈值。这种向后看的分析为建立市场驱动的新产品开发的声音偏好目标提供了基础。

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