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A System for Music Information Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2464))

Abstract

Information Retrieval, and in part Music Information Retrieval, has come to the fore in recent years as a research area. In this paper we outline the design of a system which allows for the retrieval of tunes from a music database. We describe algorithms and implementation of techniques to allow for the retrieval of tunes based on the occurrence of phrases or sub-phrases together with algorithms for the comparison of tunes via the vector space model.

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© 2002 Springer-Verlag Berlin Heidelberg

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Lahart, O., O’Riordan, C. (2002). A System for Music Information Retrieval. In: O’Neill, M., Sutcliffe, R.F.E., Ryan, C., Eaton, M., Griffith, N.J.L. (eds) Artificial Intelligence and Cognitive Science. AICS 2002. Lecture Notes in Computer Science(), vol 2464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45750-X_26

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  • DOI: https://doi.org/10.1007/3-540-45750-X_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44184-7

  • Online ISBN: 978-3-540-45750-3

  • eBook Packages: Springer Book Archive

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