Fusion of Static and Transitional Information of Cepstral and Spectral Features for Music Genre Classification

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Title:	Fusion of Static and Transitional Information of Cepstral and Spectral Features for Music Genre Classification
Authors:	游坤明 Yu, K.M.
Contributors:	資訊工程學系 Computer Science & Information Engineering
Date:	2008
Issue Date:	2014-06-27 01:14:19 (UTC+8)
Abstract:	In this paper, an automatic music genreclassification approach which integrates the featuresderived from static and transitional information ofcepstral (MFCC) and spectral (OSC) features will beproposed. MFCC and OSC capture the characteristics of one aud
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

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