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 t...

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Bibliographic Details
Published in:Procedia computer science 2015, Vol.57, p.686-694
Main Authors: Sharma, Akhilesh K., Panwar, Avinash, Chakrabarti, Prasun, Vishwakarma, Santosh
Format: Article
Language:English
Subjects:
Chromagram
classification
MIR(Music Information retrieval)
onsets
Raga
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2015.07.448