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Platform for audio clips classification

Borut Budna (2017) Platform for audio clips classification. EngD thesis.

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    Abstract

    In this diploma thesis we will describe audio clip analysis and classification system that we designed and developed as an add-on for Orange software. Orange is an open-source system, designed for data mining. It contains widgets for displaying and manipulating data, building predictive models and several other tasks. It does not, however, contain widgets for reading and processing audio clips. For this purpose, we built an add-on called »Audio-IJS« within which we developed eight widgets that enable audio manipulation as well as integration with other Orange widgets. The constructed widgets enable filtration, segmentation (cutting), spectral analysis, feature extraction, audio play as well as several other functions, necessary for connecting with other Orange widgets. The developed add-on enables the user a rapid creation of sophisticated analyses of audio clips.

    Item Type: Thesis (EngD thesis)
    Keywords: Orange, data mining, filtering, segmentation, feature extraction, spectrogram, classification
    Number of Pages: 35
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Tomaž Curk299Mentor
    prof. dr. Matjaž Gams1109Comentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3913
    Date Deposited: 11 Sep 2017 09:40
    Last Modified: 14 Sep 2017 00:07
    URI: http://eprints.fri.uni-lj.si/id/eprint/3913

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