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Automatic transcription of drum recordings

Miha Pešič (2016) Automatic transcription of drum recordings. EngD thesis.

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    Detection and transcription of drum hits from audio files is a problem, currently without an optimal solution. Multiple methods give satisfactory results but perfect transcription is hard to achieve because of lack of information in the digital recording. Approach using non-negative matrix factorization assumes that we have access to isolated recordings of every drum sound we wish to detect. Short-term Fourier transform yields separate transformations for each time frame. Isolated drum spectrograms are used for non-negative matrix factorization, the result of which we can then use for onset detection and signal synthesis. A transcription system for three different drum sounds was implemented. We tested the system in two separate scenarios and compared the results.

    Item Type: Thesis (EngD thesis)
    Keywords: drums, transcription, non-negative matrix factorization
    Number of Pages: 36
    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=1537194947)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3510
    Date Deposited: 06 Sep 2016 14:50
    Last Modified: 11 Oct 2016 13:58
    URI: http://eprints.fri.uni-lj.si/id/eprint/3510

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