Automatic Music Genre Classification Using Modulation Spectral Contrast Feature

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31560

Title:	Automatic Music Genre Classification Using Modulation Spectral Contrast Feature
Authors:	石昭玲 Shih, Jau-Ling
Contributors:	資訊工程學系 Computer Science & Information Engineering
Date:	2007
Issue Date:	2014-06-27 01:30:49 (UTC+8)
Abstract:	In this paper, we proposed a novel feature, called octavebased modulation spectral contrast (OMSC), for music genre classification. OMSC is extracted from long-term modulation spectrum analysis to represent the time-varying behavior of music signals. Expe
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

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