Automatic Music Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features

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Title:	Automatic Music Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features
Authors:	李建興 Lee, Chang-Hsing
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	Mel-frequency cepstral coefficients;Modulation spectral analysis;Music genre classification;Normalized audio spectrum envelope;Octave-based spectral contrast
Date:	2009
Issue Date:	2014-06-27 01:26:39 (UTC+8)
Abstract:	In this paper, we will propose an automatic music genre classification approach based on long-term modulation spectral analysis of spectral (OSC and MPEG-7 NASE) as well as cepstral (MFCC) features. Modulation spectral analysis of every feature value will
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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