广义音乐空间中的网络拓扑

IF 0.2 4区 艺术学 Q2 Arts and Humanities
Marco Buongiorno Nardelli
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引用次数: 5

摘要

将音乐结构抽象为几何空间中的数学对象是当代音乐理论的主要成就之一。作者将音乐空间的概念概括为网络,并通过网络拓扑分析推导出作曲设计原则。这种方法为分析和量化音乐对象和结构的相似性提供了一个框架,并提出了一种将这些措施与人类对不同音乐实体的感知联系起来的方法。最后,网络分析提供了另一种解释合成过程的方法,即利用成熟的统计力学对涌现行为进行量化。将后者解释为网络中的概率随机性,作者开发了新的组合设计框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topology of Networks in Generalized Musical Spaces
The abstraction of musical structures as mathematical objects in a geometrical space is one of the major accomplishments of contemporary music theory. The author generalizes the concept of musical spaces as networks and derives compositional design principles via network topology analysis. This approach provides a framework for analysis and quantification of similarity of musical objects and structures and suggests a way to relate such measures to human perception of different musical entities. Finally, network analysis provides alternative ways of interpreting the compositional process by quantifying emergent behaviors with well-established statistical mechanics. Interpreting the latter as probabilistic randomness in the network, the author develops novel compositional design frameworks.
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来源期刊
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期刊介绍: Leonardo Music Journal (LMJ), is the companion annual journal to Leonardo. LMJ is devoted to aesthetic and technical issues in contemporary music and the sonic arts. Each thematic issue features artists/writers from around the world, representing a wide range of stylistic viewpoints. Each volume includes the latest offering from the LMJ CD series—an exciting sampling of works chosen by a guest curator and accompanied by notes from the composers and performers. Institutional subscribers to Leonardo receive LMJ as part of a yearly subscription.
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