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:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Tomaž Curk	299	Mentor
prof. dr. Matjaž Gams	1109	Comentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537540803)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

3913

Date Deposited:

11 Sep 2017 09:40

Last Modified:

26 Sep 2017 08:28

URI:

http://eprints.fri.uni-lj.si/id/eprint/3913

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