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:	石昭玲 Shih, Jau-Ling
Contributors:	資訊工程學系 Computer Science & Information Engineering
Date:	2008
Issue Date:	2014-06-27 01:28:52 (UTC+8)
Abstract:	In this paper, an automatic music genre classification approach which integrates the features derived from static and transitional information of cepstral (MFCC) and spectral (OSC) features will be proposed. MFCC and OSC capture the characteristics of one
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

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