An Analytical approach based on self organized maps (SOM) in Indian classical music raga clustering

This paper is mainly focusing the aspects regarding the Self organized maps in the recognition of the Ragas and the strategy behind the Digital signal processing for the raga recognition and clustering of the same. Paper mainly describes all the features extraction mechanism for the SOM input and we devised an algorithm for creating the clusters of the raga based on their PCP (pitch class profiles) and the onsets detected. Our strategy is very promising that its providing better clusters of the raga patterns and the raga segments are very much clearly be distinguished from the other ragas, as we compared them with the formation of the key attributes. The Indian classical music history is very old and the need for identifying the music based on the raga onsets is very much helping for the music professionals and domestic users for identifying and detecting the raga types and using the same without the help or availability of any experts nearby. Thus our strategy is very promising in nature for the novice users and practitioners as well as home users. The very early learners would also find it very interesting and supportive after due course of frequent uses of it. At last we provided the future possibilities for the enhancements.