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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Recognition in Indian Music Raga’s using RBFNN
Authors
R. Seenu, R. Thiruvengatanadhan, P. Kathirvel
Keywords
Music Signal, Raga’s, Feature Extraction, Mel Frequency Cepstral Coefficient (MFCC), Radial Basis Function Neural Network (RBFNN)
Abstract
Hindustani music and Carnatic music are the two major types of Indian classical music that are performed. Raga is the fundamental concept in Indian music on which whole melody of a performance is based and comprises of group of swaras ranging from 5-8 notes. The Raga is the base of Indian Classical Music. The behaviour of the Raga is recognized by Swara notes movement. The Raga may be sung as per emotions, environmental situations and events at a particular time. The Mel Frequency Cepstral Coefficient (MFCC) features extraction technique from the Digital Signal Processing. This paper describes a technique that uses Radial Basis Function Neural Network (RBFNN) to recognition Indian Music Raga’s. The proposed feature extraction and classification models results in better accuracy in recognition Indian Music Raga’s.
IJCRT's Publication Details
Unique Identification Number - IJCRT2112444
Paper ID - 214266
Page Number(s) - e240-e242
Pubished in - Volume 9 | Issue 12 | December 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
R. Seenu, R. Thiruvengatanadhan, P. Kathirvel, "Recognition in Indian Music Raga’s using RBFNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 12, pp.e240-e242, December 2021, Available at :http://www.ijcrt.org/papers/IJCRT2112444.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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