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

机译:一种统计模型,其预测听众的耳机耳机的偏好等级:第2部分 - 模型的开发和验证

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Part 1 of this paper presented listening test results where 71 listeners 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. Acoustic measurements indicated that the frequency magnitude response of the headphone was a good indicator of its overall sound quality. The further its response deviated from the Harman IE target curve, the less it was preferred. Part 2 presents a statistical model that predicts the preference rating of the headphone based the deviations in its magnitude response The agreement between the predicted and measured headphone preference ratings is r = 0.91 with an error of 5.5% or 5.5 ratings on a 100-point preference scale. Two separate validation tests indicate the model is robust and not over-fitted.
机译:本文的第1部分提出了听取的测试结果,其中71个听众给出了30种不同型号的耳机(即)耳机的偏好等级。训练有素和未经训练的听众均优选耳机均衡,即哈曼IE靶曲线。声学测量表明,耳机的频率幅度响应是其整体音质的良好指标。其响应偏离了Harman,即目标曲线,优选的较少。第2部分呈现了一种统计模型,其基于其幅度响应的偏差预测,预测和测量的耳机偏好额定值之间的协议是r = 0.91的误差,误差为100点偏好的额定值为5.5%或5.5级规模。两个单独的验证测试表明模型是坚固的,而不是过度装配。

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