Abstract

The paper gives brief introduction of Computational Musicology as a sub field of Artificial Intelligence (AI). It explains evolution of computational Musicology field and existing work done in the context of Western and Indian Music. It also compares Western Music with Indian Classical Music (ICM) and points out essential differences between them, illustrating how analysis of Western Music is not compatible with Indian Classical Music. A section in paper also gives introduction to Hindustani Classical Music and describes features that determine the grammar for representation and analysis of a raga. Section 5 represents the study of existing work in the field of Computational Musicology for ICM and identifies limitations and advantages of the methods.

References

• Volk, Anja, Frans Wiering, and van P. Kranenburg. "Unfolding the potential of computational musicology." Proceedings of the 13th International Conference on Informatics and Semiotics in Organisations. 2011.
• Coutinho, Eduardo, et al. "Computational musicology: An artificial life approach." Artificial intelligence, 2005. epia 2005. portuguese conference on. IEEE, 2005.
• Juan R. Rabunal, Julian Dorado, Artificial neural networks in real life applications, Idea Group Publishing, Yurchak Printing Inc.
• Western Culture, Available at: http://en.wikipedia.org/wiki/Western_culture#Music , Accessed on 6/3/2015.
• Indian Classical Music and Sikh Kirtan, Available at: http://fateh.sikhnet.com/sikhnet/gurbani.nsf/d9c75ce4db27be328725639a0063aecc/ 085885984cfaafcb872565bc004de79f! OpenDocument, Accessed on 11/2/2015
• Computational Musicology, Available at: https://en.wikipedia.org/wiki/Computational_musicology, Accessed on 5/2/2015
• Agarwal, Parul, Harish Karnick, and Bhiksha Raj. "A Comparative Study Of Indian And Western Music Forms." ISMIR. 2013.
• Scaringella, Nicolas, Giorgio Zoia, and Daniel Mlynek. "Automatic genre classification of music content: a survey." Signal Processing Magazine, IEEE23.2 (2006): 133-141.
• Bajpai, Garima. "Music and Personality."
• Jairazbhoy, Nazir Ali. The rāgs of North Indian music: their structure and evolution. Popular Prakashan, 1995.
• Bhattacharjee, A. R. I. N. D. A. M., and N. A. R. A. Y. A. N. A. N. Srinivasan. "Hindustani raga representation and identification: a transition probability based approach." IJMBC 2.1-2 (2011): 66-91.
• Sahasrabuddhe, H. V. "Searching for a Common Language of Ragas”: Proc."Indian Music and Computers: Can’Mindware’and Software Meet (1994).
• Rao, Suvarnalata, and Preeti Rao. "An overview of Hindustani music in the context of computational musicology." Journal of New Music Research 43.1 (2014): 24-33.
• Ganguli, Kaustuv Kanti, and Preeti Rao. "Tempo dependence of melodic shapes in hindustani classical music." Mana 160.7.3 (2014): 1-148.
• Pendekar, Rajshri, et al – here you have to have the authors names. "Harmonium Raga Recognition." International Journal of Machine Learning and Computing 3.4 (2013): 352.
• Pandey, Gaurav, Chaitanya Mishra, and Paul Ipe. "TANSEN: A System for Automatic Raga Identification." IICAI. 2003.
• Das, Dipanjan, and Monojit Choudhury. "Finite state models for generation of Hindustani classical music." Proceedings of International Symposium on Frontiers of Research in Speech and Music. 2005.
• Sinith, M., and K. Rajeev. "Hidden markov model based recognition of musical pattern in south Indian classical music." IEEE International Conference on Signal and Image Processing, Hubli, India. 2006.
• Akhil Bharatiya Gandharva Mahavidhyalaya Mandal, Available at: http://abgmvm.org/home.html, Accessed on 17/2/2016.
• Fundamental Frequency Estimation, Available at: http://recherche.ircam.fr/anasyn/roebel/amt_audiosignale/VL5.pdf, Accessed on 17/2/2016.
• Onset Detection: Onsets and Spectrul Flux, Available at: http://www.badlogicgames.com/wordpress/?p=161, Accessed on 18/2/2016.
• Shruti, Available at: https://en.wikipedia.org/wiki/Shruti_(music), Accessed on 11/8/2017.