Joint Recognition of raag and tonic in North Indian music

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• dc.contributor.author Chordia, Parag
• dc.contributor.author Şentürk, Sertan
• dc.date.accessioned 2019-05-28T16:09:11Z
• dc.date.available 2019-05-28T16:09:11Z
• dc.date.issued 2013
• dc.description.abstract In many non-Western musical traditions, such as North Indian classical music (NICM), melodies do not conform to the major and minor modes, and they commonly use tunings that have no fixed reference (e.g., A = 440 Hz). We present a novel method for joint tonic and raag recognition in NICM from audio, based on pitch distributions. We systematically compare the accuracy of several methods using these tonal features when combined with instance-based (nearest-neighbor) and Bayesian classifiers. We find that, when compared with a standard twelve-dimensional pitch class distribution that estimates the relative frequency of each of the chromatic pitches, smoother and more continuous tonal representations offer significant performance advantages, particularly when combined with appropriate classification techniques. Best results are obtained using a kernel-density pitch distribution along with a nearest-neighbor classifier using Bhattacharyya distance, attaining a tonic error rate of 4.2 percent and raag error rate of 10.3 percent (with 21 different raag categories). These experiments suggest that tonal features based on pitch distributions are robust, reliable features that can be applied to complex melodic music.
• dc.description.sponsorship This material is based upon work supported by the National Science Foundation under grant 0855758.
• dc.format.mimetype application/pdf
• dc.identifier.citation Chordia P, Şentürk S. Joint Recognition of raag and tonic in North Indian music. Computer music journal. 2013;37(3):82-98. DOI: 10.1162/COMJ_a_00194
• dc.identifier.doi http://dx.doi.org/10.1162/COMJ_a_00194
• dc.identifier.issn 0148-9267
• dc.identifier.uri http://hdl.handle.net/10230/41644
• dc.language.iso eng
• dc.publisher MIT Press
• dc.relation.ispartof Computer music journal. 2013;37(3):82-98.
• dc.rights © MIT Press (Publisher version at http://mitpress.mit.edu)
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.other Música -- Índia
• dc.title Joint Recognition of raag and tonic in North Indian music
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion