Thai musical instrument recognition and classification using C5.0 algorithm
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Creator 1. Parinya Thongkam
2. Wanida Kanarkard
3. Kittiphong Meesawat
4. Wiroj Taweepworadej
Title Thai musical instrument recognition and classification using C5.0 algorithm
Publisher Faculty of Engineering, Khon Kaen Univeristy
Publication Year 2555
Journal Title KKU Engineering Journal
Journal Vol. 39
Journal No. 1
Page no. 85-93
Keyword C5.0 Algorithm,Data classification,Thai musical instruments
ISSN 0125-8573
Abstract This paper proposes the machine learning for the recognition and classification of Thai musical instruments. A set of features extracted from 9 Thai musical instruments are investigated for content-based classification of musical instrument timbres. The Linear Prediction Coding is used to produce simple matrices from complex sound waveforms for instrument recognition. These matrices are presented to a recognition model of C5.0 algorithm. A thorough evaluation of the resulting performances and comparative analysis with SVM and Back Propagation Model is presented. A C5.0 model shows an accuracy rate of 99.77% outperforms the other two models due to its robustness, time-efficient and flexibility of modeling algorithm
KKU Engineering Journal

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