ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Discovery of Repeated Themes and Sections in Music with a Compositional Hierarchical Model

Urša Juvan (2016) Discovery of Repeated Themes and Sections in Music with a Compositional Hierarchical Model. MSc thesis.

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    In this thesis we focus on the discovery of repeated patterns in music, one of the tasks in the research field of music information retrieval. We use a compositional hierarchical model, which was previously successfully applied to other tasks from this field, and adjust it to process symbolic music and find repeated patterns in musical pieces. In order to facilitate testing and interpretation of algorithm's output we develop a visual representation of the model. Results are evaluated on two datasets and compared to results of other researchers. Comparison shows that the proposed model is comparable to or better than other approaches in finding multiple repetitions of one pattern, but lags in identifying at least one occurrence of each structurally salient pattern. We propose several possible solutions for increasing the share of successfully identified salient patterns and suggest some guidelines for further development of the model.

    Item Type: Thesis (MSc thesis)
    Keywords: Music information retrieval, pattern discovery, compositional hierarchical model, symbolic music representation
    Number of Pages: 84
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Matija Marolt271Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537101507)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3440
    Date Deposited: 25 Aug 2016 11:48
    Last Modified: 14 Sep 2016 08:59
    URI: http://eprints.fri.uni-lj.si/id/eprint/3440

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