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Proceedings Paper

Perceptual analysis for music segmentation
Author(s): Min-Hong Jian; Chia-Han Lin; Arbee L.P. Chen
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Paper Abstract

In this paper, a music segmentation framework is proposed to segment music streams based on human perception. In the proposed framework, three perceptual features corresponding to four perceptual properties are extracted. By analyzing the trajectory of feature values, the cutting points of a music stream can be identified. According to the complementary characteristics of the three features, a ranking algorithm is designed to achieve a better accuracy. We perform a series of experiments to evaluate the Complementary Characteristics and the effectiveness of the proposed framework.

Paper Details

Date Published: 18 December 2003
PDF: 12 pages
Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); doi: 10.1117/12.527911
Show Author Affiliations
Min-Hong Jian, National Tsing Hua Univ. (Taiwan)
Chia-Han Lin, National Tsing Hua Univ. (Taiwan)
Arbee L.P. Chen, National Tsing Hua Univ. (Taiwan)


Published in SPIE Proceedings Vol. 5307:
Storage and Retrieval Methods and Applications for Multimedia 2004
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

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