Raga recognition through tonic identification using flute acoustics

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dc.contributor.author Sinith, M. S.
dc.contributor.author Murthy, K. V. V.
dc.contributor.author Tripathi, Shikha
dc.date.accessioned 2020-04-07T09:58:46Z
dc.date.available 2020-04-07T09:58:46Z
dc.date.issued 2020-03
dc.identifier.citation Sinith, M. S.; Murthy, K. V. V. and Tripathi, Shikha, �Raga recognition through tonic identification using flute acoustics�, International Journal of Advanced Intelligence Paradigms, DOI: 10.1504/IJAIP.2020.105821, vol. 15, no. 3, pp. 273-286, Mar. 2020. en_US
dc.identifier.issn 1755-0386
dc.identifier.issn 1755-0394
dc.identifier.uri https://doi.org/10.1504/IJAIP.2020.105821
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5294
dc.description.abstract Tonic identification is traditionally approached using pitch histogram. Acoustic characteristics of musical instruments have not been used for the purpose. The conventional tonic identifiers are either knowledge-based or multi-pitch analysis-based. These methods either directly or indirectly depend on the drone sound. The efficiency of these systems drastically decreases in the absence of the later. In this paper, a tonic identification method which is independent of drone sound is proposed for flute signals which makes use of acoustic characteristics of the instrument. In addition, tonic identification is utilised for real-time raga recognition.
dc.description.statementofresponsibility by M.S. Sinith, K.V.V. Murthy and Shikha Tripathi
dc.language.iso en_US en_US
dc.publisher Inderscience en_US
dc.title Raga recognition through tonic identification using flute acoustics en_US
dc.type Article en_US
dc.relation.journal International Journal of Advanced Intelligence Paradigms


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