A comparison of symbolic similarity measures for finding occurrences of melodic segments

Berit Janssen, Peter van Kranenburg, A. Volk

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    To find occurrences of melodic segments, such as themes,
    phrases and motifs, in musical works, a well-performing
    similarity measure is needed to support human analysis of
    large music corpora. We evaluate the performance of a
    range of melodic similarity measures to find occurrences
    of phrases in folk song melodies. We compare the similarity
    measures correlation distance, city-block distance, Euclidean
    distance and alignment, proposed for melody comparison
    in computational ethnomusicology; furthermore
    Implication-Realization structure alignment and B-spline
    alignment, forming successful approaches in symbolic melodic
    similarity; moreover, wavelet transform and the geometric
    approach Structure Induction, having performed
    well in musical pattern discovery. We evaluate the success
    of the different similarity measures through observing
    retrieval success in relation to human annotations. Our results
    show that local alignment and SIAM perform on an
    almost equal level to human annotators.
    Original languageEnglish
    Title of host publicationProceedings of the 16th ISMIR Conference, Málaga, Spain, October 26-30, 2015
    Place of PublicationMalaga, Spain
    PublisherISMIR press
    Pages659-665
    Publication statusPublished - 2015

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