Affiliations: [a] Faculty and School of Engineering, University of Tokushima, Tokushima, Japan | [b] School of Computer Science and Technology, Donghua University, Shanghai, China
Correspondence:
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Corresponding author: Mei Chen, Faculty and School of Engineering, University of Tokushima, Tokushima, Japan. E-mail: [email protected].
Abstract: In a piece of music, repeating patterns can be easily identified by human beings. Theoretically, similarities between repeating patterns and non-repeating patterns should be different. In this paper, we study similarities of patterns based on fingerprint features. According to the analysis results, we also present a relevant method to detect repeating patterns. Evaluations on some of familiar songs indicate that our method is promising.
Keywords: Similarity analysis, repeating patterns, music retrieval, fingerprint feature
