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Recognition of variations using automatic Schenkerian reduction.

Marsden, Alan (2010) Recognition of variations using automatic Schenkerian reduction. In: International Society for Music Information Retrieval (ISMIR 2010), 2010-08-01, Utrecht.

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    Abstract

    Experiments on techniques to automatically recognise whether or not an extract of music is a variation of a given theme are reported, using a test corpus derived from ten of Mozart's sets of variations for piano. Methods which examine the notes of the 'surface' are compared with methods which make use of an automatically derived quasi-Schenkerian reduction of the theme and the extract in question. The maximum average F-measure achieved was 0.87. Unexpectedly, this was for a method of matching based on the surface alone, and in general the results for matches based on the surface were marginally better than those based on reduction, though the small number of possible test queries means that this result cannot be regarded as conclusive. Other inferences on which factors seem to be important in recognising variations are discussed. Possibilities for improved recognition of matching using reduction are outlined.

    Item Type: Conference or Workshop Item (Poster)
    Journal or Publication Title: International Society for Music Information Retrieval (ISMIR 2010)
    Subjects: M Music and Books on Music > M Music
    Departments: Faculty of Arts & Social Sciences > Lancaster Institute for the Contemporary Arts
    ID Code: 34348
    Deposited By: Dr Alan Marsden
    Deposited On: 05 Oct 2010 10:52
    Refereed?: Yes
    Published?: Published
    Last Modified: 27 Jul 2012 02:11
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/34348

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