歌曲和音乐流派声音振幅的普遍模式
Universal patterns in sound amplitudes of songs and music genres
摘要：
我们报告了超过8000首歌曲的统计分析。具体来说，我们调查的概率分布的归一化的声音振幅。我们的研究结果似乎表明，一个普遍的形式的分布，提出了一个很好的协议与一个参数拉伸高斯。我们还认为，这个参数可以给音乐的复杂性的信息，因此它去分类歌曲以及音乐流派。此外，我们提出的统计证据，相关方面的歌曲直接与非高斯性质的声音振幅分布。
英文摘要：
We report a statistical analysis over more than eight thousand songs. Specifically, we investigate the probability distribution of the normalized sound amplitudes. Our findings seems to suggest a universal form of distribution which presents a good agreement with a one-parameter stretched Gaussian. We also argue that this parameter can give information on music complexity, and consequently it goes towards classifying songs as well as music genres. Additionally, we present statistical evidences that correlation aspects of the songs are directly related with the non-Gaussian nature of their sound amplitude distributions.
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