Fuzzy logic helps to integrate music theory and practice

T. León, V. Liern
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引用次数: 3

Abstract

Among the many practices of composers, instrumentalists and singers which clearly correspond with fuzzy logic our focus here is on tuning. Different criteria have been used to select the sounds that music uses. A set containing these sounds (musical notes) is called a tuning system. Several tuning systems coexist in a classical orchestra. The pitches of the notes are different and very precisely defined for each system; however the consequences of small deviations from these theoretical frequencies are not serious. Actually, the orchestra members are aware of the necessity of reaching a consensus and adjust their instruments to tune well. Because of this, many musicians feel that the mathematical arguments that justify tuning systems are impractical. Modeling the notes as fuzzy sets provides a flexible theoretical framework which helps to integrate tuning theory and practice. We illustrate our approach comparing some tuning systems and analyzing a excerpt by Béla Bartók.
模糊逻辑有助于音乐理论与实践的结合
在作曲家、乐器演奏家和歌手的许多实践中,我们在这里的重点是调音。不同的标准被用来选择音乐使用的声音。包含这些声音(音符)的集合称为调音系统。在一个古典管弦乐队中,几种调音系统并存。音符的音高是不同的,每个系统都有非常精确的定义;然而,与这些理论频率的小偏差的后果并不严重。事实上,乐团成员们意识到达成共识的必要性,并调整他们的乐器,使其调音好。正因为如此,许多音乐家认为证明调音系统的数学论据是不切实际的。将音符建模为模糊集提供了一个灵活的理论框架,有助于将调音理论与实践相结合。我们举例说明了我们的方法,比较了一些调优系统,并分析了b忧郁Bartók的摘录。
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