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Audio to score alignment of folk music

Samo Kralj (2016) Audio to score alignment of folk music. MSc thesis.

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    The thesis deals with the problem of audio to score alignment of folk music. Our goal is to adapt standard methods for audio to score alignment for aligning folk music. Alignment algorithms are then used for querying music in folk music archives. In folk music, the quality of recordings is often poor, due to recording conditions, and because singers are often not professionals. This makes alignment with standard approaches difficult. In our master thesis we develop new approaches to improve alignment in folk music archives by exploiting the characteristics of folk music, such as its tone distribution. We test our algorithms on slovenian folk music and show that we achieve improvement over standard methods.

    Item Type: Thesis (MSc thesis)
    Keywords: folk music, music alignment, query by humming, dynamic time warping, hidden Markov model
    Number of Pages: 63
    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=1537102019)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3439
    Date Deposited: 25 Aug 2016 11:42
    Last Modified: 14 Sep 2016 09:56
    URI: http://eprints.fri.uni-lj.si/id/eprint/3439

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