{"title":"Sankari sangeet的Raagas聚类——一种计算方法","authors":"Krishnarjun Bora, M. Barman, A. N. Patowary","doi":"10.1177/02762374231154179","DOIUrl":null,"url":null,"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.","PeriodicalId":45870,"journal":{"name":"Empirical Studies of the Arts","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Clustering the Raagas of Sankari Sangeet—A Computational Approach\",\"authors\":\"Krishnarjun Bora, M. Barman, A. N. Patowary\",\"doi\":\"10.1177/02762374231154179\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":45870,\"journal\":{\"name\":\"Empirical Studies of the Arts\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Empirical Studies of the Arts\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/02762374231154179\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"HUMANITIES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Empirical Studies of the Arts","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/02762374231154179","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"HUMANITIES, MULTIDISCIPLINARY","Score":null,"Total":0}
Clustering the Raagas of Sankari Sangeet—A Computational Approach
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.
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.