2026-05-02T01:40:40Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00007421 2022-03-24T23:16:07Z 1582963674932 1582963674932:1597397050488 user-miit

Evaluation of the Combination of Features for Classifying Traditional Songs May Thu Myint Phyu Phyu Khaing 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 2020-05-12 http://hdl.handle.net/20.500.12678/0000007421 https://meral.edu.mm/records/7421