The musicological analysis of Carnatic music is challenging, owing to its rich structure and complexity. Automated \textit{r\=aga} classification, pitch detection, tonal analysis, modelling and information retrieval of this form of southern Indian classical music have, however, made significant progress in recent times. A causal analysis to investigate the musicological structure of Carnatic compositions and the identification of the relationships embedded in them have never been previously attempted. In this study, we propose a novel framework for causal discovery, using a compression-complexity measure. Owing to the limited number of compositions available, however, we generated surrogates to further facilitate the analysis of the prevailing causal relationships. Our analysis indicates that the context-free grammar, inferred from more complex compositions, such as the \textit{M\=e\d{l}akarta} \textit{r\=aga}, are a \textit{structural cause} for the \textit{Janya} \textit{r\=aga}. We also analyse certain special cases of the \textit{Janya r\=aga} in order to understand their origins and structure better.
翻译:对卡纳蒂音乐的音乐分析因其结构丰富和复杂而具有挑战性。 对这种形式的南印度古典音乐的自动分类、 音道检测、 线性分析、 建模和信息检索最近取得了显著进展。 调查卡纳蒂音乐结构的因果分析从未尝试过。 在这次研究中, 我们建议使用压缩- 复杂度衡量标准, 建立一个新的因果发现框架。 但是,由于现有组成数量有限, 我们产生了代孕, 以进一步协助分析普遍存在的因果关系。 我们的分析表明, 从更复杂的构成(如\ textit{ M ⁇ e\\ d} {lältit{ { { { ⁇ a} 等) 中推断的无上下文语表, 是用于理解其起源和结构的\ textitit{ Janya}\ trextit{ {r ⁇ ga} 。 我们还分析了某些特例, 以便更好地了解其起源和结构。