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
Barlow, H., Morgenstern, S.: A Dictionary of Musical Themes (1948)
The Multimedia Library, http://www.multimedialibrary.com/barlow/
Downie, J.S., Nelson, M.: Evaluation of a Simple and Effective Music Information Retrieval Method. In: 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens, Greece (2000)
Birmingham, W.P., Dannenberg, R.B., Wakefield, G.H., Bartsch, M., Bykowski, D., Mazzoni, D., Meek, C., Mellody, M., Rand, W.: Musart: Music Retrieval via Aural Queries. In: ISMIR 2001, Bloomington, Indiana (2001)
McNab, R.J., Smith, L.A., Witten, I.H., Henderson, C.L., Cunningham, S.J.: Towards the Digital Music Library: Tune Retrieval from Acoustic Input. Digital Libraries (1996)
Classical Music Archives, http://www.classicalarchives.com
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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)