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Melodic similarity algorithms for scores – a comparative evaluation of contrasting approaches

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dc.contributor.advisor Ó Maidin, Donncha Cahill, Margaret 2022-04-06T11:26:32Z 2022-04-06T11:26:32Z 2008
dc.description peer-reviewed en_US
dc.description.abstract This thesis is concerned with melodic similarity algorithms for musical scores. The performance of two contrasting approaches is explored and the chosen algorithms fine tuned and evaluated using human observations of similarity. The most relevant musical features for assessing melodic similarity are identified from music perception research. Two contrasting algorithmic approaches are selected – a geometric algorithm and the string-matching edit distance approach. A number of different versions of both algorithms are implemented to assess the success of the musical features used. The internal weights of the algorithms are fine-tuned using a testbed of melodies for which human judgements of similarity have been gathered. These melodies are extracted from a piece of music in Theme and Variation form. While focusing on perceptual accuracy of the human similarity judgements, the best performing algorithms are identified and discussed. The internal algorithm weights are verified using additional extracts from the set of Theme and Variations. The ability of the algorithms to successfully generalise to a broader range of music is explored using two further collections of melodies in contrasting musical styles for which human observations of similarity exist. en_US
dc.language.iso eng en_US
dc.publisher University of Limerick en_US
dc.subject musical scores en_US
dc.subject performance en_US
dc.subject algorithms en_US
dc.title Melodic similarity algorithms for scores – a comparative evaluation of contrasting approaches en_US
dc.type info:eu-repo/semantics/doctoralThesis en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.supercollection ul_theses_dissertations en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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