Clustering the Raagas of Sankari Sangeet—A Computational Approach

IF 1.5 4区 心理学 0 HUMANITIES, MULTIDISCIPLINARY
Krishnarjun Bora, M. Barman, A. N. Patowary
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引用次数: 1

Abstract

Raaga is the heart of Indian Classical Music. A raaga is an arrangement of 12 notes in the octave. Like Indian classical music, Sankari Sangeets which are composed 500 years ago are also based on raaga. The musicologist of Sankari Sangeet found nearly 26 different raagas in Sankaree Sangeet. Each of these raagas has some specific characteristics such as Aruhana (Ascending order of notes), Avaruhana (Descending order of notes), Pakad, Time of Singing, Vadi swara (Dominant/Important Note), Samvadi swara (Second Dominant Note), etc. This piece of work considers all of the 26 raagas of Sankari Sangeet to statistically cluster on the basis of 18 features extracted from each raaga. For clustering of the raagas, k-prototypes clustering technique is used which gives four clusters of sizes 9, 4, 6, and 7. Also, a comparison is carried out between the clusters obtained from k-prototypes clustering and existing theoretical Thaat-based classification.
Sankari sangeet的Raagas聚类——一种计算方法
拉加是印度古典音乐的中心。raaga是八度音阶中12个音符的排列。与印度古典音乐一样,500年前创作的Sankari Sangeets也是以raaga为基础的。Sankari Sangeet的音乐学家在Sankaree Sangeet发现了近26种不同的raaga。这些raagas中的每一个都有一些特定的特征,如Aruhana(音符的升序)、Avaruhana(音符的降序)、Pakad、唱歌的时间、Vadi swara(主导/重要音符)、Samvadi swara。对于raagas的聚类,使用了k-原型聚类技术,该技术给出了大小为9、4、6和7的四个聚类。此外,还对从k-原型聚类获得的聚类与现有的基于Thaat的理论分类进行了比较。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
14
期刊介绍: Empirical Studies of the Arts (ART) aims to be an interdisciplinary forum for theoretical and empirical studies of aesthetics, creativity, and all of the arts. It spans anthropological, psychological, neuroscientific, semiotic, and sociological studies of the creation, perception, and appreciation of literary, musical, visual and other art forms. Whether you are an active researcher or an interested bystander, Empirical Studies of the Arts keeps you up to date on the latest trends in scientific studies of the arts.
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