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A web tool for comparison of music transcription systems

Jani Jež (2016) A web tool for comparison of music transcription systems. EngD thesis.

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    This thesis presents the development of a web application that enables the user to compare algorithms for automatic music transcription. The user interface provides visualization of time difficulty, graphic representation and comparison of the algorithm’s transcription results. Furthermore, it enables calculation and comparison of main evaluation metrics. The system was developed by using four different transcription algorithms. Based on this input set, the application was generalized by giving the user the ability to add his or her own solutions. This functionality significantly increased usability by providing a comparison of user algorithm results with those already available in the system. For algorithm execution, an annotated sound database, MAPS was used. These sorts of data sets include ground-truth transcriptions for each audio file, therefore adding an extra option to evaluate the algorithm’s result accuracy. The application provides a file upload function as well, in order to extend an annotated sound library. Automatic music transcription is generally a time-consuming process, hence an option that notifies the user of its termination had been added. In addition to all functions stated, this tool provides editing and exporting transcription results in MIDI format. With this set of options a simple and useful tool had been introduced to the automatic music transcription community.

    Item Type: Thesis (EngD thesis)
    Keywords: transcription, music information retrieval, automatic music transcription algorithms, evaluation metrics, web application
    Number of Pages: 55
    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=1537113283)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3508
    Date Deposited: 06 Sep 2016 14:51
    Last Modified: 16 Sep 2016 11:06
    URI: http://eprints.fri.uni-lj.si/id/eprint/3508

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