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dc.contributor.authorLartillot, Olivier
dc.contributor.authorCereghetti, Donato
dc.contributor.authorEliard, Kim
dc.contributor.authorGrandjean, Didier
dc.date.accessioned2013-05-29T06:40:15Z
dc.date.available2013-05-29T06:40:15Z
dc.date.issued2013
dc.identifier.citationLartillot, O., Cereghetti, D., Eliard, K. & Grandjean, D. (2013). A Simple, High-Yield Method for Assessing Structural Novelity. In: Proceedings of the 3rd International Conference on Music & Emotion (ICME3), Jyväskylä, Finland, 11th - 15th June 2013. Geoff Luck & Olivier Brabant (Eds.). University of Jyväskylä, Department of Music.
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/41611
dc.description.abstractThe structural dimension of music plays an important role in its affective appreciation. One particular aspect is related to the temporal succession of moments, each characterized by particular musical properties. One classical approach in computational modelling of this aspect is based on similarity matrix representations, where successive states are visualized by successive squares along the main diagonal, bearing some resemblance to checkerboards. One referential method estimates a so-called novelty curve, representing the probability along time of the presence of transitions between successive states, as well as their relative importance. Novelty is traditionally computed by comparing – through cross-correlation – local configurations along the diagonal with an ideal checkerboard kernel. The method is limited by a strong dependency on kernel size, which imposes a single level of granularity in the analysis and fails to grasp common musical structures made of a succession of states of various sizes. We introduce a simpler but more powerful and general method that automatically detects homogeneous segments of any size. Only half of the similarity matrix is retained, in order to compare each new instant solely with the past and exclude the future. For each instant in the piece, novelty is assessed by first determining the temporal scale of the preceding homogeneous part as well as the degree of contrast between that previous part and what just comes next. Detailed results show how and why this method offers a richer and more intuitive structural representation encompassing all granularity levels.fi
dc.language.isoeng
dc.publisherUniversity of Jyväskylä, Department of Music
dc.relation.ispartofProceedings of the 3rd International Conference on Music & Emotion (ICME3), Jyväskylä, Finland, 11th - 15th June 2013. Geoff Luck & Olivier Brabant (Eds.). ISBN 978-951-39-5250-1
dc.subject.otherstructural dimension of music
dc.subject.otherstructure
dc.subject.othermusic
dc.subject.othersimilarity matrix
dc.subject.othernovelity
dc.titleA Simple, High-Yield Method for Assessing Structural Novelity
dc.typehttp://purl.org/eprint/type/ConferencePaper
dc.identifier.urnURN:NBN:fi:jyu-201305291819
dc.type.dcmitypeText
dc.contributor.laitosMusiikin laitosfi
dc.contributor.laitosDepartment of Musicen
dc.type.versionpublishedVersion
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceThe 3rd International Conference on Music & Emotion, Jyväskylä, Finland, June 11-15, 2013


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