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The impact of Music on the mood or emotion of the listener is awell-researched area in human psychology and behavioral science. In Indianclassical music, ragas are the melodic structure that defines the variousstyles and forms of the music. Each raga has been found to evoke a specificemotion in the listener. With the advent of advanced capabilities of audiosignal processing and the application of machine learning, the demand forintelligent music classifiers and recommenders has received increasedattention, especially in the 'Music as a service' cloud applications. Thispaper explores a novel framework to leverage the raga-rasa association inIndian classical Music to build an intelligent classifier and its applicationin music recommendation system based on user's current mood and the mood theyaspire to be in.

Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa Association in Indian Classical Music