通过波束的声音合成拓扑

Georg Essl
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引用次数: 1

摘要

近年来,出现了一系列处理数字信号的拓扑方法。在本文中,我们展示了如何构造拓扑滤波器通过轮轴可以用来拓扑现有的声音合成方法。我用两类综合方法来说明这个过程:(1)基于线性时不变数字滤波器和(2)基于在圆上定义的振荡器。我们使用计算友好的方法通过简单复合体对拓扑进行建模,并将我们的经典综合方法通过帧附加到它们上。特别地,我们探索了模拟采样线和环路的简单拓扑的例子。在这些空间中,我们实现了简单离散谐波振荡器(谐振滤波器)和基于简单梳状滤波器的算法(如Karplus-Strong)以及频率调制的具体示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topologizing Sound Synthesis Via Sheaves
In recent years, a range of topological methods have emerged for processing digital signals. In this paper we show how the construction of topological filters via sheaves can be used to topologize existing sound synthesis methods. I illustrate this process on two classes of synthesis approaches: (1) based on linear-time invariant digital filters and (2) based on oscillators defined on a circle. We use the computationally-friendly approach to modeling topologies via a simplicial complex, and we attach our classical synthesis methods to them via sheaves. In particular, we explore examples of simplicial topologies that mimic sampled lines and loops. Over these spaces we realize concrete examples of simple discrete harmonic oscillators (resonant filters), and simple comb filter based algorithms (such as Karplus-Strong) as well as frequency modulation.
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