Here we present a computational approach to identifying melodic patterns in a dataset of 145 MusicXML scores with the aim of contributing to centonization theory in the Moroccan tradition of Arab-Andalusian Music – a theory in development by expert performer and researcher of this tradition, Amin Chaachoo. Central to his work is the definition of a set of characteristic patterns, or centos, for each ṭab‘, or melodic mode. We apply three methods: TF-IDF, Maximally General Distinctive Patterns (MGDP) and the Structure Induction Algorithm (SIA) to identify characteristic patterns at the level of ṭab‘. A substantial number of the centos proposed by Chaachoo are identified and new melodic patterns are retrieved. A discussion with Chaachoo about the obtained results promoted the elicitation of other categories of recurrent patterns in the tradition different from the centos, contributing to a deeper musicological knowledge of the tradition.

在这里，我们提出了一种计算方法来识别包含 145 个 MusicXML 乐谱的数据集中的旋律模式，目的是为阿拉伯-安达卢西亚音乐的摩洛哥传统中的 Centonization 理论做出贡献 - 这一传统的专家表演者和研究人员 Amin Chaachoo 正在开发的理论. 他的工作的核心是为每个ṭab'或旋律模式定义一组特征模式或 centos 。我们应用三种方法：TF-IDF、最大通用独特模式 (MGDP) 和结构归纳算法 (SIA) 来识别ṭab'级别的特征模式. Chaachoo 提出的大量 centos 被识别并检索到新的旋律模式。与 Chaachoo 关于获得的结果的讨论促进了传统中不同于 centos 的其他类别的重复模式的发现，有助于更深入地了解传统的音乐学知识。