{"title":"卡纳蒂克音乐频谱中的音符识别","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":"{\"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}","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}
Note identification in Carnatic Music from Frequency Spectrum
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%.