Musical parallelism and melodic segmentation: A computational approach
Musical parallelism and melodic segmentation: A computational approach
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DOI：
10.1525/mp.2006.23.3.249
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发表时间：
2006-02-01
期刊：
影响因子：
2.3
通讯作者：
Cambouropoulos, E
中科院分区：
文献类型：
--
作者：
Cambouropoulos, E
尽管考虑到音乐的平行性是音乐分割的一个重要因素，但很少有系统的尝试来描述它如何影响分组过程。主要的问题是，音乐平行本身是难以形式化。在这项研究中，提出了一个计算模型，提取旋律模式从一个给定的旋律表面。在假设"显著"重复音乐模式的开始和结束点影响音乐表面的分割之后，所发现的模式被用作确定旋律的可能分割点的手段。"重要"模式主要根据出现的频率和模式的长度来定义。非重叠，立即重复模式的特殊状态进行检查。所有发现的图案合并成单个“图案”分割轮廓，其表示表面中最有可能被感知为分割点的点。所提出的旋律表示和算法的有效性进行了测试对一系列的旋律表面说明的优点和缺点的方法。
Despite the consideration that musical parallelism is an important factor for musical segmentation, there have been relatively few systematic attempts to describe exactly how it affects grouping processes. The main problem is that musical parallelism itself is difficult to formalize. In this study, a computational model that extracts melodic patterns from a given melodic surface is presented. Following the assumption that the beginning and ending points of '' significant '' repeating musical patterns influence the segmentation of a musical surface, the discovered patterns are used as a means to determine probable segmentation points of the melody. '' Significant '' patterns are defined primarily in terms of frequency of occurrence and length of pattern. The special status of nonoverlapping, immediately repeating patterns is examined. All the discovered patterns merge into a single '' patterns '' segmentation profile that signifies points in the surface most likely to be perceived as points of segmentation. The effectiveness of the proposed melodic representations and algorithms is tested against a series of melodic surfaces illustrating both strengths and weaknesses of the approach.