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A study of instrument-wise onset detection in Beijing Opera percussion ensembles

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dc.contributor.author Tian, Mi
dc.contributor.author Srinivasamurthy, Ajay
dc.contributor.author Sandler, Mark
dc.contributor.author Serra, Xavier
dc.date.accessioned 2016-01-28T08:12:59Z
dc.date.available 2016-01-28T08:12:59Z
dc.date.issued 2014
dc.identifier.citation Tian M, Srinivasamurthy A, Sandler M, Serra X. A study of instrument-wise onset detection in Beijing Opera percussion ensembles. In: In: 2014 International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. Piscataway, NJ: IEEE, 2014. p. 2159-2163. DOI 10.1109/ICASSP.2014.6853981
dc.identifier.uri http://hdl.handle.net/10230/25678
dc.description.abstract Note onset detection and instrument recognition are two of the most investigated tasks in Music Information Retrieval (MIR). Various detection methods have been proposed in previous research for western music, with less focus on other music cultures of the world. In this paper, we focus on onset detection for percussion instruments in Beijing Opera, a major genre of Chinese traditional music. A dataset of individual audio samples of four primary percussion instruments is used to obtain the spectral bases for each instrument. With these bases, we separate the input percussion ensemble recordings into its spectral sources and their activations using a Non-negative Matrix Factorization (NMF) based algorithm. A simple onset detection conducted on each NMF activation presents satisfactory overall detection rates, and provides us valuable implications and suggestions for future development of drum transcription and percussion pattern analysis in Beijing Opera.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof 2014 International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. Piscataway, NJ: IEEE, 2014. p. 2159-2163.
dc.relation.isreferencedby http://hdl.handle.net/10230/25720
dc.relation.isreferencedby http://hdl.handle.net/10230/27529
dc.rights © 2014 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=6853981
dc.title A study of instrument-wise onset detection in Beijing Opera percussion ensembles
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2014.6853981
dc.subject.keyword Drum Transcription
dc.subject.keyword Onset Detection
dc.subject.keyword Beijing Opera
dc.subject.keyword Non-negative matrix factorization
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

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