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Item
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Evaluation of the Combination of Features for Classifying Traditional Songs
http://hdl.handle.net/20.500.12678/0000007421
http://hdl.handle.net/20.500.12678/00000074217164f764-a2b3-4d68-8153-ded4a440b795
15e76e76-54c6-4e92-ac44-1f7567b63f0e
Name / File | License | Actions |
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Evaluation of the Combination of Features for Classifying Traditional Songs | |||||
Language | en | |||||
Publication date | 2020-05-12 | |||||
Authors | ||||||
May Thu Myint | ||||||
Phyu Phyu Khaing | ||||||
Description | ||||||
In this paper, the problem of music classification and highly similar of cultural music style of Myanmar’s ethnic music is examined. The experiments are conducted by using the combination of timbre features and combining the nine major features. For this work, in the use of classification methods, Sparse Representation Classifier and k-Nearest Neighbours classifier are commonly used which is to compare the classification results. Moreover, it shows that MFCC (FC4, FC5, FC6) feature combination gives 79% of best classification result with the use of SRC classifier. When all feature combinations are used, the SRC provide the best classification accuracy of 81.64% for Shan ethnic songs than other ethnic songs |
||||||
Keywords | ||||||
Sparse Representation Classifier, k- Nearest Neighbors, Timbre feature, Mel frequency Cepstral Coefficients | ||||||
Journal articles | ||||||
No-1 | ||||||
University Journal of Computer Applications and Research (JCAR 2020) | ||||||
63-69 | ||||||
Vol-1 |