{"title":"Note identification in Carnatic Music from Frequency Spectrum","authors":"T. Prashanth, Radhika Venugopalan","doi":"10.1109/ICCSP.2011.5739406","DOIUrl":null,"url":null,"abstract":"Raga refers to melodic modes used in Indian Classical Music. It's a series of five or more musical notes upon which a melody is made. Note identification forms the basis for Raga Identification in Music. Characterisation of a note in Carnatic Music is challenging due to the extensive use of Gamakas. In this paper, we propose a System that takes a wav file as input, analyses the frequency characteristics and performs note mapping. The prominent notes in the Raga are selected by a Statistical T Test based on the duration of occurrence of a note. A Test data of around 15 raga alapanas was used. The renditions ranged from 3 – 8 minute clips of various artistes, both male and female. The System performs with an accuracy of 90%.","PeriodicalId":408736,"journal":{"name":"2011 International Conference on Communications and Signal Processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communications and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2011.5739406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Raga refers to melodic modes used in Indian Classical Music. It's a series of five or more musical notes upon which a melody is made. Note identification forms the basis for Raga Identification in Music. Characterisation of a note in Carnatic Music is challenging due to the extensive use of Gamakas. In this paper, we propose a System that takes a wav file as input, analyses the frequency characteristics and performs note mapping. The prominent notes in the Raga are selected by a Statistical T Test based on the duration of occurrence of a note. A Test data of around 15 raga alapanas was used. The renditions ranged from 3 – 8 minute clips of various artistes, both male and female. The System performs with an accuracy of 90%.