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A Statistical Model that Predicts Listeners' Preference Ratings of In-Ear Headphones: Part 2—Development and Validation of the Model

预测听众对入耳式耳机偏好评级的统计模型:第2部分—模型的开发及验证

 

Part 1 of this paper presented the results of controlled listening tests where 71 listeners both trained and untrained gave preference ratings for 30 different models of in-ear (IE) headphones. Both trained and untrained listeners preferred the headphone equalized to Harman IE target curve. Objective measurements indicated the magnitude response of the headphone appeared to be a predictor of its preference rating, and the further it deviated from the response of the Harman IE target curve the less it was generally preferred. Part 2 presents a linear regression model that accurately predicts the headphone preference ratings (r = 0.91) based on the size, standard deviation and slope of the magnitude response deviation from the response of the Harman IE headphone target curve.

本文的第1部分给出了听音测试结果,71位听众给出了30种不同型号的入耳式(IE)耳机的偏好评级。受过和未受过训练的听众都喜欢将耳机的响应调整到哈曼IE目标曲线。声学测量表明,耳机的幅频响应是其整体声音质量的良好指标。其响应偏离Harman IE目标曲线越少越好。第2部分提出了一个统计模型,根据其幅度响应的偏差预测耳机的偏好等级。预测和实测的耳机偏好打分之间的一致性为r = 0.91,误差为5.5%,或相当于百分制的打分误差 5.5分。两个独立的验证测试表明该模型是稳健的,且不过度拟合。

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