Anantapadmanabhan, AkshayBellur, AshwinMurthy, Hema A.2016-02-092016-02-092013Anantapadmanabhan 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.2013.6637633http://hdl.handle.net/10230/25756In 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.application/pdfeng© 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=6637633info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICASSP.2013.6637633Modal AnalysisMridangamAutomatic transcriptionNon-negative Matrix FactorizationHidden Markov modelsinfo:eu-repo/semantics/openAccess