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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(4): 352-356 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.336

Harmonium Raga Recognition

Rajshri Pendekar, S. P. Mahajan, Rasika Mujumdar, Pranjali Ganoo
Abstract—This paper proposes a novel method for the identification of swaras and ragas in an Indian classical harmonium recital. Swaras are musical notes which are produced by pressing any key of the harmonium (an instrument analogous to the piano). Ragas are melodic combinations of swaras which capture the mood and emotions of the performance. We first deal with the segmentation of the audio signal by using two different methods for onset detection viz. use of spectral flux and by fundamental frequency estimation. Swara identification is proposed by using the pitch frequency of the swaras as a distinguishing feature. For this the frequencies associated with each swara are first identified and the exact mapping of the frequencies in the given signal is done by using devised database. In case of raga identification, an extensive database of commonly used swara permutations is structured and dynamic programming is used for template matching and hence raga recognition.

Index Terms—Harmonium, onset detection, raga recognition, swara transcription.

The authors are with the Dept of Electronics and Telecommunication, College of Engineering, Pune 411005, India (e-mail: rpendekar@gmail.com, spm.extc@coep.ac.in).

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Cite:Rajshri Pendekar, S. P. Mahajan, Rasika Mujumdar, Pranjali Ganoo, "Harmonium Raga Recognition," International Journal of Machine Learning and Computing vol.3, no. 4, pp. 352-356, 2013.

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