Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning

The Indian classical music and the raga's studied in this research paper. This paper focuses on categorization of these ragas into various different categories based on their features extracted. The tools like PRAAT, MIRchromagram and WEKA have been used for the simulation. The results proved the efficiency increased to 89%. This paper includes the ensemble approach that is used to categorize the Indian classical raga's based on their different characteristics. This paper also shows the comparison of different models as well so as to measure the percent changes in their performance.