比较音乐语料库分析中模式趣味性的建模

IF 0.5 2区数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Mathematics and Music Pub Date : 2021-04-05 DOI:10.1080/17459737.2021.1900436

Kerstin Neubarth, D. Conklin

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引用次数: 1

摘要

在计算模式发现中，模式评估方法根据模式在给定分析任务中的潜在兴趣对模式进行选择或排序。已经提出了许多措施来适应不同的模式类型和属性。本文提出了一种方法和案例研究，采用频率、特征、联想、对比、依赖和重要模式来模拟参考分析中的模式趣味性，Frances Densmore对提顿苏族歌曲的研究。结果表明，根据Densmore的分析，从古老的苏族歌曲到最近的苏族歌曲的有趣变化最好通过对比、依赖和意义度量来捕捉。

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Modelling pattern interestingness in comparative music corpus analysis

In computational pattern discovery, pattern evaluation measures select or rank patterns according to their potential interestingness in a given analysis task. Many measures have been proposed to accommodate different pattern types and properties. This paper presents a method and case study employing measures for frequent, characteristic, associative, contrasting, dependent, and significant patterns to model pattern interestingness in a reference analysis, Frances Densmore's study of Teton Sioux songs. Results suggest that interesting changes from older to more recent Sioux songs according to Densmore's analysis are best captured by contrast, dependency, and significance measures.

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来源期刊

Journal of Mathematics and Music 数学-数学跨学科应用

CiteScore

1.90

自引率

18.20%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Mathematics and Music aims to advance the use of mathematical modelling and computation in music theory. The Journal focuses on mathematical approaches to musical structures and processes, including mathematical investigations into music-theoretic or compositional issues as well as mathematically motivated analyses of musical works or performances. In consideration of the deep unsolved ontological and epistemological questions concerning knowledge about music, the Journal is open to a broad array of methodologies and topics, particularly those outside of established research fields such as acoustics, sound engineering, auditory perception, linguistics etc.