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通过卷积唤起和声

Evoking Harmony via Convolution

Michael Gogins

arXiv 2608.28851首次发表:更新:

发表机构

Irreducible Productions(不可约制作公司)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究提出 Csound 的 chord_convolver 方法,通过卷积从任意源声音唤起和弦音级内容,对比线性频梳滤波器等并在野外录音中实现音乐应用,最小化伪影。

AI 中文摘要

我展示了如何通过将任意源声音与脉冲响应进行卷积,从源声音中唤起和弦的音级内容,该脉冲响应在听觉范围的每个八度内,每个音级对应一个加窗正弦波的 grain,同时最小化伪影。Csound 用户自定义操作码 chord_convolver 将干 Dirac 分量混入该响应,并应用一次分区卷积。我将该效果与线性频梳滤波器和通用恒 Q 谐振器组进行对比,并结合 Chateau de Lagarde 遗址旁的黄昏野外录音演示了其音乐应用。

英文摘要

I show how to evoke the pitch-class content of a chord from an arbitrary source sound by convolving the source with an impulse response whose grains are one windowed sinusoid per pitch-class, across each octave of hearing range; while, at the same time, minimizing artifacts. A Csound user-defined opcode, chord_convolver, mixes a dry Dirac component into that response, and applies partitioned convolution once. I contrast the effect with a linear-frequency comb filter and with a generic constant-Q resonator bank, and I demonstrate musical use on a twilight field recording alongside the ruins of Chateau de Lagarde.

CommentsExtended version of a paper to appear in the Proceedings of the 8th International Csound Conference(ICSC 2026), Trapani, 20--22 October 2026

论文原文

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