Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization

Anantapadmanabhan, Akshay; Bellur, Ashwin; Murthy, Hema A.

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dc.contributor.author	Anantapadmanabhan, Akshay
dc.contributor.author	Bellur, Ashwin
dc.contributor.author	Murthy, Hema A.
dc.date.accessioned	2016-02-09T07:55:46Z
dc.date.available	2016-02-09T07:55:46Z
dc.date.issued	2013
dc.identifier.citation	Anantapadmanabhan A, Bellur A, Murthy HA. Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings; 2013 May 26-31; Vancouver, USA. Piscataway, NJ: IEEE, 2013. p. 181-185. DOI 10.1109/ICASSP.2013.6637633
dc.identifier.uri	http://hdl.handle.net/10230/25756
dc.description.abstract	In this paper we use a Non-negative Matrix Factorization/n(NMF) based approach to analyze the strokes of the mri-/ndangam, a South Indian hand drum, in terms of the normal/nmodes of the instrument. Using NMF, a dictionary of spectral/nbasis vectors are first created for each of the modes of the/nmridangam. The composition of the strokes are then studied/nby projecting them along the direction of the modes using/nNMF. We then extend this knowledge of each stroke in terms/nof its basic modes to transcribe audio recordings. Hidden/nMarkov Models are adopted to learn the modal activations for/neach of the strokes of the mridangam, yielding up to/n88,40%/naccuracy during transcription.
dc.description.sponsorship	This research/nwas partly funded by the European Research Council under the/nEuropean/nUnions Seventh Framework Program, as part of the CompMusic project/n(ERC grant agreement 267583).
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2013 IEEE International Conference on Acoustics, Speech and Signal Processing: proceedings; 2013 May 26-31; Vancouver, USA. Piscataway, NJ: IEEE, 2013. p. 181-185.
dc.relation.isreferencedby	http://hdl.handle.net/10230/27936
dc.rights	© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6637633
dc.title	Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization
dc.type	info:eu-repo/semantics/conferenceObject
dc.identifier.doi	http://dx.doi.org/10.1109/ICASSP.2013.6637633
dc.subject.keyword	Modal Analysis
dc.subject.keyword	Mridangam
dc.subject.keyword	Automatic transcription
dc.subject.keyword	Non-negative Matrix Factorization
dc.subject.keyword	Hidden Markov models
dc.relation.projectID	info:eu-repo/grantAgreement/EC/FP7/267583
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/acceptedVersion