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Empirically testing Tonnetz, voice-leading, and spectral models of perceived triadic distance

机译:根据经验测试 Tonnetz ,声音领先和感知三元距离的光谱模型

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摘要

We compare three contrasting models of the perceived distance between root-position major and minor chords and test them against new empirical data. The models include a recent psychoacoustic model called spectral pitch class distance, and two well-established music theoretical models – distance and voice-leading distance. To allow a principled challenge, in the context of these data, of the assumptions behind each of the models, we compare them with a simple “benchmark” model that simply counts the number of common tones between chords. Spectral pitch class and have the highest correlations with the experimental data and each other, and perform significantly better than the benchmark. The voice-leading model performs worse than the benchmark. We suggest that spectral pitch class distance provides a psychoacoustic explanation for perceived harmonic distance and its music theory representation, the . Scores and MIDI files of the stimuli, the experimental data, and the computational models are available in the online supplement.
机译:我们比较了根位置大和弦之间的感知距离的三种对比模型,并针对新的经验数据进行了测试。这些模型包括一个最近的称为频谱音调类距离的心理声学模型,以及两个完善的音乐理论模型-距离和语音引导距离。为了在这些数据的背景下对每个模型背后的假设进行有原则的挑战,我们将它们与简单的“基准”模型进行比较,该模型仅计算和弦之间的常见音调数量。频谱音高等级与实验数据和彼此之间具有最高的相关性,并且性能明显优于基准。语音领先模型的性能比基准测试差。我们建议频谱音高的类距离为感知的谐波距离及其音乐理论表示形式提供心理声学解释。刺激的乐谱和MIDI文件,实验数据和计算模型可从在线补充中获得。

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