The Visual Representation of Timbre

IF 0.2 3区 艺术学 0 MUSIC
Mattias Sköld
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引用次数: 1

Abstract

This text deals with the difficult task of notating timbre by addressing how it can be classified, synthesised, recognised and related to visual correspondences, and then looking at the relevance of these topics for notational purposes. Timbre is understood as dependent on both spectral and time-dependent features that can be notated in ways that make sense in relation to both perception and acoustics. This is achieved by taking the starting point in Lasse Thoresen’s spectromorphological analysis. Symbols originally developed for perception-based analysis are adapted for use over a hybrid spectrum-staff system to indicate the spectral qualities of timbre. To test the system, it was used to transcribe excerpts of three classic electroacoustic music works. In addition to the benefit of being able to compare the three excerpts transcribed with the same system, there is the advantage that the visual representation is based on spectral measurable qualities in the music. The notation system’s intuitiveness was also explored in listening tests, showing that it was possible to understand spectral notation symbols placed over a staff system, particularly for examples with two sound objects instead of one.
音色的视觉表现
本文通过讨论如何对音色进行分类、合成、识别以及将其与视觉对应联系起来,来处理标记音色的艰巨任务,然后研究这些主题的相关性,以达到标记的目的。Timbre被理解为依赖于光谱和时间相关的特征,这些特征可以用与感知和声学相关的方式来表示。这是从Lasse Thoresen的光谱形态分析开始的。最初为基于感知的分析而开发的符号适用于混合频谱标尺系统,以指示音色的频谱质量。为了测试该系统,使用它来转录三部经典电声音乐作品的节选。除了能够比较用同一系统转录的三个摘录的好处之外,还有一个优点是视觉表现基于音乐中光谱可测量的质量。在听力测试中也探讨了记谱系统的直观性,表明可以理解放置在五线谱系统上的谱记谱符号,特别是对于有两个声音对象而不是一个声音对象的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
16.70%
发文量
38
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