Abstract
Raga identification is very essential for automatic Music Information Retrieval (MIR) systems. One of the methods of classifying and organizing the songs of South Indian Classical music (Carnatic Music) is by identifying the Raga used to compose the music. Ragas can be defined as melody types, method of organizing tunes based on certain natural principles. As there are thousands of ragas classes defined in carnatic music system, the process of identifying raga of a song is a difficult task. In this paper, we have proposed a method where we divide the raga classes into number of groups based on the jump sequence of swaras used in the raga. So, using this method the raga identification process is solved in two levels where in the first level we identify the group to which song belongs and then in the next step identify the raga. Here in this paper, we describe the method used to group the ragas and then present the experimental analysis of the work done.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chai, W., Vercoe, B.: Folk Music Classification Using Hidden Markov Models. In: Proceedings of International Conference on Artificial Intelligence (June 2001)
Pikrakis, A., Theodoridis, S., Kamarotos, D.: Classification Musical Patterns Using Variable Duration Hidden Markov Models. In: Proceedings EUSIPCO, pp. 1281–128 (2004)
Sridhar, R., Geetha, T.V.: Raga Identification of Carnatic Music for Music Information Retrieval. International Journal of Recent Trends in Engineering 1(1), 571–574 (2009)
Krishna, A.S., Rajkumar, P.V., Saishankar, K.P., John, M.: Identificaton of Carnatic ragas using Hidden Markov Models. In: Proceedings of 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, Smoleniu, Slovakia, January 27-29 (2011)
Rabiner, L.R.: Fundamentals of Speech Recognition. Prentice Hall, PTR USA; ISBN,-10:013051572
Padmanabha Acharya, S.K., Veda, P.: Kasargod, India (Published by S.K. Padmanabha Acharya)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shetty, S., Achary, K.K., Hegde, S. (2012). Raga Identification in CARNATIC Music Using Hidden Markov Model Technique. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds) Global Trends in Information Systems and Software Applications. ObCom 2011. Communications in Computer and Information Science, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29216-3_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-29216-3_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29215-6
Online ISBN: 978-3-642-29216-3
eBook Packages: Computer ScienceComputer Science (R0)