Abstract
In this research work, we propose to classify the Indian classical raga. The research work focuses on preprocessing phase for the audio feature creation and then the music is segmented in various categories according to the raga properties. The extracted feature data set utilized for the raga classification and then the measurement of accuracy has been done. RapidMiner tool is used for the classification purpose and Jaudio is used for the feature extraction. The raga data is used for the north Indian classical music. The classifier chosen for the purpose performed flawlessly and results obtained were above satisfactory level.
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Sharma, A.K., Ramani, P. (2018). Rigorous Data Analysis and Performance Evaluation of Indian Classical Raga Using RapidMiner. In: Pant, M., Ray, K., Sharma, T., Rawat, S., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583. Springer, Singapore. https://doi.org/10.1007/978-981-10-5687-1_9
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DOI: https://doi.org/10.1007/978-981-10-5687-1_9
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