Effectiveness of a loudness model for time-varying sounds in equating the loudness of sentences subjected to different forms of signal processing.
Effectiveness of a loudness model for time-varying sounds in equating the loudness of sentences subjected to different forms of signal processing.
复制标题
时变声音的响度模型在使经过不同形式的信号处理的句子的响度相等方面的有效性。
DOI：
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复制
发表时间：
2016
影响因子：
2.4
通讯作者：
B. Moore
中科院分区：
文献类型：
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作者：
T. Zorila;Y. Stylianou;Sheila Flanagan;B. Moore
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) root-mean 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.
