A study on feature selection and classification techniques for automatic genre classification of traditional Malay music

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A study on feature selection and classification techniques for automatic genre classification of traditional Malay music

Machine learning techniques for automated musical genre classification is currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related feat...

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Bibliographic Details
Main Authors:	Doraisamy, Shyamala, Golzari, Shahram, Mohd. Norowi, Noris, Sulaiman, Md. Nasir, Udzir, Nur Izura
Format:	Conference or Workshop Item
Language:	English
Published:	ISMIR 2008
Online Access:	http://psasir.upm.edu.my/id/eprint/40721/ http://psasir.upm.edu.my/id/eprint/40721/1/40721.pdf

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