Music Genre Classification Using Modulation Spectral Features and Multiple Prototype Vectors Representation

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题名:	Music Genre Classification Using Modulation Spectral Features and Multiple Prototype Vectors Representation
作者:	李建興 Lee, Chang-Hsing
贡献者:	資訊工程學系 Computer Science & Information Engineering
关键词:	Mel-frequency cepstral coefficients;modulation spectral analysis;music genre classification;normalized audio spectrum envelope;octave-based spectral contrast
日期:	2011
上传时间:	2014-06-27 01:51:57 (UTC+8)
摘要:	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. A modulation spectrogram corresponding to the collection
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