International Journal of Management and Applied Science (IJMAS)
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Statistics report
Nov. 2018
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 54
Paper Published : 3316
No. of Authors : 6857
  Journal Paper




Paper Title :
Automatic Raga Classification based on THAAT

Author :Kamlesh Kishore, Kartik Mahto, Arvind Kumar

Article Citation :Kamlesh Kishore ,Kartik Mahto ,Arvind Kumar , (2017 ) " Automatic Raga Classification based on THAAT " , International Journal of Management and Applied Science (IJMAS) , pp. 106-108, Volume-3,Issue-4

Abstract : In North Indian classical music Ragas have been categorized by ten different Thaats. Each of the ragas comprises of melodic combination of the notes based on Thaat to which it belongs. In this paper we classify Ragas into various Thaats by detecting the key derived notes (Komal and Teevra Swar) present in the music sample. We used cepstral analysis to find the fundamental frequency and Chebyshev’s inequality to detect the notes of the music signal. Each Thaat has a typical combination of derived notes which forms the basis of classification. Index terms - Raga, Thaat, Komalnote, Cepstral Analysis, Chebyshev’s inequality

Type : Research paper

Indexed : Google Scholar


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