Modulation Spectral Analysis of Audio Features for Music Genre Classification

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Title:	Modulation Spectral Analysis of Audio 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 01:10:10 (UTC+8)
Abstract:	In this paper, we will propose an automatic music genre classification approach based on modulation spectral analysis of audio features. The audio features are Mel-frequency cepstral coefficients (MFCC) and octave-based spectral energy ratio (OSER). Modul
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

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