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Finding maximum-length repeating patterns in music databases

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Abstract

This paper introduces the problem of discovering maximum-length repeating patterns in music objects. A novel algorithm is presented for the extraction of this kind of patterns from a melody music object. The proposed algorithm discovers all maximum-length repeating patterns using an “aggressive” accession during searching, by avoiding costly repetition frequency calculation and by examining as few as possible repeating patterns in order to reach the maximum-length repeating pattern(s). Detailed experimental results illustrate the significant performance gains due to the proposed algorithm, compared to an existing baseline algorithm.

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  1. Department of Informatics, Aristotle University, Thessaloniki, 54124, Greece

    Ioannis Karydis, Alexandros Nanopoulos & Yannis Manolopoulos

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  1. Ioannis Karydis
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  2. Alexandros Nanopoulos
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  3. Yannis Manolopoulos
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Correspondence to Yannis Manolopoulos.

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Karydis, I., Nanopoulos, A. & Manolopoulos, Y. Finding maximum-length repeating patterns in music databases. Multimed Tools Appl 32, 49–71 (2007). https://doi.org/10.1007/s11042-006-0068-5

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