Perceptual analysis for music segmentation

Min-Hong Jian; Chia-Han Lin; Arbee L.P. Chen

doi:10.1117/12.527911

18 December 2003 Perceptual analysis for music segmentation

Min-Hong Jian, Chia-Han Lin, Arbee L.P. Chen

Proceedings Volume 5307, Storage and Retrieval Methods and Applications for Multimedia 2004; (2003) https://doi.org/10.1117/12.527911
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Min-Hong Jian, Chia-Han Lin, and Arbee L.P. Chen "Perceptual analysis for music segmentation", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.527911

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