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Effectiveness of a loudness model for time-varying sounds in equating the loudness of sentences subjected to different forms of signal processing

机译:响度模型对于时变声音的有效性,使经过不同形式信号处理的句子的响度相等

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A model for the loudness of time-varying sounds [ Glasberg and Moore (2012). J. Audio. Eng. Soc. 50, 331-342] was assessed for its ability to predict the loudness of sentences that were processed to either decrease or increase their dynamic fluctuations. In a paired-comparison task, subjects compared the loudness of unprocessed and processed sentences that had been equalized in (1) rootmean square (RMS) level; (2) the peak long-term loudness predicted by the model; (3) the mean long-term loudness predicted by the model. Method 2 was most effective in equating the loudness of the original and processed sentences. (C) 2016 Acoustical Society of America.
机译:随时间变化的声音响度的模型[Glasberg and Moore(2012)。 J.音频。 。 Soc。 [第50卷,第331-342页]评估了其预测被处理为减少或增加其动态波动的句子响度的能力。在配对比较任务中,受试者比较了在(1)均方根(RMS)级别中相等的未处理和已处理句子的响度; (2)模型预测的峰值长期响度; (3)模型预测的平均长期响度。方法2在使原始句子和处理过的句子的响度相等时最有效。 (C)2016年美国声学学会。

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