Discovery of distinctive patterns in music

نویسنده

Darrell Conklin

چکیده

This paper proposes a new view of pattern discovery in music: mining of a corpus for maximally general patterns that are overrepresented with respect to an anticorpus. An algorithm for maximally general distinctive pattern discovery is described and applied to folk song melodies from three geographic regions. Distinctive patterns have applicability to comparative music analysis tasks where an anticorpus can be defined and contrasted with an analysis corpus.

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