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Probing Questions About Keys: Tonal Distributions Through the DFT

机译:有关按键的探究问题:通过DFT进行音调分配

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Pitch-class distributions are central to much of the computational and psychological research on musical keys. This paper looks at pitch-class distributions through the DFT on pitch-class sets, drawing upon recent theory that has exploited this technique. Corpus-derived distributions consistently exhibit a prominence of three DFT components, f_5, f_3, and f_2, so that we might simplify tonal relationships by viewing them within two- or three-dimensional phase space utilizing just these components. More generally, this simplification, or filtering, of distributional information may be an essential feature of tonal hearing. The DFTs of probe-tone distributions reveal a subdominant bias imposed by the temporal aspect of the behavioral paradigm (as compared to corpus data). The phases of f_5, f_3, and f_2 also exhibit a special linear dependency in tonal music giving rise to the idea of a tonal index.
机译:音调类分布对于音乐键的许多计算和心理研究至关重要。本文利用最近利用该技术的理论,研究了通过音调类集上的DFT进行的音调类分布。语料库衍生的分布始终表现出三个DFT分量f_5,f_3和f_2的突出,因此我们可以通过仅使用这些分量在二维或三维相空间中查看它们来简化音调关系。更一般地,对分配信息的这种简化或过滤可能是音调听觉的基本特征。探究语气分布的DFT显示出行为范式的时间方面(与语料库数据相比)强加了偏见。 f_5,f_3和f_2的相位在音调音乐中也表现出特殊的线性依赖性,从而产生了音调索引的概念。

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