Tian, MiSrinivasamurthy, AjaySandler, MarkSerra, Xavier2016-01-282016-01-282014Tian 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.2014.6853981http://hdl.handle.net/10230/25678Note 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.application/pdfeng© 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=6853981info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICASSP.2014.6853981Drum TranscriptionOnset DetectionBeijing OperaNon-negative matrix factorizationinfo:eu-repo/semantics/openAccess