Abstract
Music, according to Swami Vivekananda, is the highest form of art and also the highest form of worship (provided you understand it!). Understanding music, both esthetically and scientifically, becomes important. This is especially true for classical music, be it Indian or Western, since each is a discipline in its own right. While the former stresses on the emotional richness of the raga as expressed through melody and rhythm, the latter is technically stronger as, in addition to melody and rhythm, the focus is also on harmony and counterpoint. A raga is a melodic structure with fixed notes and a set of rules characterizing a particular mood conveyed by performance. The present chapter gives a statistical structure analysis of raga Bhimpalashree.
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References
K. Adiloglu, T. Noll, K. Obermayer, A paradigmatic approach to extract the melodic structure of a musical piece. J. New Music Res. 35(3), 221–236 (2006)
J. Beran, G. Mazzola, Analyzing musical structure and performance – a statistical approach. Stat. Sci. 14(1), 47–79 (1999)
R.G. Brown, Smoothing Forecasting and Prediction of Discrete Time Series (Prentice-Hall, Englewood Cliffs, NJ, 1963)
S. Chakraborty, R. Ranganayakulu, S. Chauhan, S.S. Solanki, K. Mahto, A statistical analysis of Raga Ahir Bhairav. J. Music Meaning 8, sec. 4, Winter (2009), http://www.musicandmeaning.net/issues/showArticle.php?artID=8.4
S. Chakraborty, L.K. Krishnapryia, S. Chauhan, S.S. Solanki, K. Mahto, Melody revisited: tips from Indian music theory. Int. J. Comput. Cognit. 8(3), 26–32 (2010)
D. Dutta, Sangeet Tattwa (Pratham Khanda), 5th edn. (Brati Prakashani, 2006) (in Bengali) (Kolkata, India)
C.C. Holt, Forecasting trends and seasonal by exponentially weighted averages. Office of Naval Research Memorandum 52 (1957). Reprinted in C.C. Holt, Forecasting trends and seasonal by exponentially weighted averages. Int. J. Forecast. 20(1), 5–10 (2004). doi:10.1016/j.ijforecast.2003.09.015
http://en.wikipedia.org/wiki/Exponential_smoothing. Accessed 28 Jan 2013
B. Klemens, Modeling with data: tools and techniques for scientific computing (Princeton University Press, Princeton, NJ, 2008)
N. Nettheim, A bibliography of statistical applications in musicology. Musicol. Aust. 20, 94–106 (1997)
S. Tewari, S. Chakraborty, A statistical analysis of Bhairav: the first morning raga. Int. J. Comput. Technol. 4(2), 371–386 (2013)
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Chakraborty, S., Mazzola, G., Tewari, S., Patra, M. (2014). Modeling the Structure of Raga Bhimpalashree: A Statistical Approach. In: Computational Musicology in Hindustani Music. Computational Music Science. Springer, Cham. https://doi.org/10.1007/978-3-319-11472-9_4
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DOI: https://doi.org/10.1007/978-3-319-11472-9_4
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