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首页> 外文会议>Audio Engineering Society international convention >A Statistical Model That Predicts Listeners' Preference Ratings of In-Ear Headphones: Part 2 - Development and Validation of the Model
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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：预测听者对入耳式耳机的偏爱等级的统计模型：第2部分-模型的开发和验证

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摘要

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部分介绍了听力测试结果，其中71位听众给出了30种不同型号的入耳式（IE）耳机的偏爱等级。训练有素的听众和未训练的听众都更喜欢将耳机均衡至Harman IE目标曲线。声学测量表明，耳机的频率幅度响应很好地表明了耳机的总体音质。它的响应离Harman IE目标曲线越远，则越不受欢迎。第2部分介绍了一个统计模型，该模型可根据其幅度响应的偏差来预测耳机的偏好等级。预测的和测量的耳机偏好等级之间的一致性为r = 0.91，100点偏好的误差为5.5％或5.5等级规模。两个独立的验证测试表明该模型是健壮的，并且没有过度拟合。

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