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Beyond Error Tolerance: Finding Thematic Similarities in Music Digital Libraries

  • Conference paper
Research and Advanced Technology for Digital Libraries (ECDL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4172))

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Abstract

Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results.

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References

  1. Barlow, H., Morgenstern, S.: A Dictionary of Musical Themes (1948)

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Author information

Authors and Affiliations

  1. Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, USA

    Tamar Berman & J. Stephen Downie

  2. Independent Researcher, P.O. Box 476, Tel Mond, 40650, Israel

    Bart Berman

Authors
  1. Tamar Berman
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  2. J. Stephen Downie
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  3. Bart Berman
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Editor information

Editors and Affiliations

  1. No Affiliations,  

    Julio Gonzalo

  2. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Richerche, Via Moruzzi, 1, 56124, Pisa, Italy

    Costantino Thanos

  3. Dpto. Lenguajes y Sistemas Informáticos, UNED,  

    M. Felisa Verdejo

  4. Dep. de Lenguajes y Sistemas Informáticos, Universidad de Alicante, E-03071, Alicante, Spain

    Rafael C. Carrasco

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© 2006 Springer-Verlag Berlin Heidelberg

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Berman, T., Downie, J.S., Berman, B. (2006). Beyond Error Tolerance: Finding Thematic Similarities in Music Digital Libraries. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2006. Lecture Notes in Computer Science, vol 4172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863878_44

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  • DOI: https://doi.org/10.1007/11863878_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44636-1

  • Online ISBN: 978-3-540-44638-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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