Identification of Carnatic raagas using Hidden Markov Models


Raaga identification is one of the key areas for budding Carnatic musicians and avid listeners. Identification and knowledge of the raaga of a song not only implies knowledge of music but also helps establish the mood of a song. We propose to identify a Carnatic raaga by extracting from the music sample, information about the 12 distinguishable frequencies in an octave. The proposed technique is Specmurt analysis which involves the analysis of a signal in its log-frequency domain. The extracted information is fed to the Hidden Markov Model back-end system where each raaga has its associated model.

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@article{Krishna2011IdentificationOC, title={Identification of Carnatic raagas using Hidden Markov Models}, author={Aswathy S. Krishna and P. V. Rajkumar and K. P. Saishankar and Mala John}, journal={2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI)}, year={2011}, pages={107-110} }