从统计学角度重新审视印度斯坦古典音乐:音符依赖性中马尔科夫链的顺序取决于拉加还是作曲?

Soubhik Chakraborty, Aiman Habib, Prerna Singh
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引用次数: 0

摘要

随意渲染音符并不能产生音乐。要产生音乐,必须有一种模式使音符相互依赖。因此,我们有必要了解下一个音符的概率是只取决于当前音符,还是取决于当前音符之前的音符。换句话说,探索乐曲中马尔可夫链的顺序非常重要。在印度斯坦古典音乐中,这一顺序取决于拉加还是作曲?本作品探讨了这一引人入胜的问题,并试图通过阿凯克信息准则(AIC)来回答这一问题。有趣的是,马尔可夫链的顺序似乎取决于拉加,而拉加有一个明确的旋律结构,其中有固定的音符和一系列规则,这些规则表征了通过演奏传达的特定情绪。只要保持这些规则,就像在拉加乐曲中一样,马尔可夫链的顺序在拉加乐曲中是不变的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hindustani classical music revisited statistically: Does the order of Markov chain in the note dependence depend on the raga or the composition?
Rendering musical notes randomly does not create music. To generate music, there has to be a pattern which makes the musical notes dependent. It is therefore of interest to know whether the probability of the next note depends on the current note only or whether it depends on the note(s) prior to the current note. In other words, it is important to explore the orderof Markov chain in the musical piece. In the context of Hindustani classical music, does this order depend on the raga or the composition? The present work addresses this fascinating question and attempts to answer it through Akaike’s information criterion (AIC). It appears, interestingly, that the order of Markov chain is dependent on the raga which has a well defined melodic structure with fixed notes and a set of rules characterizing a particular mood that is conveyed by performance. As long as these rules are maintained, as in a raga bandish, the order of the Markov chain is invariant over the raga compositions.
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