Persistent audio modelling for background determination
Moncrieff, Simon, Venkatesh, Svetha and West, Geoff 2005, Persistent audio modelling for background determination, in ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005, IEEE, Piscataway, N. J., pp. 41-44.
IEEE International Conference on Multimedia and Expo
Start page
41
End page
44
Total pages
4
Publisher
IEEE
Place of publication
Piscataway, N. J.
Summary
This paper is concerned with modelling background audio online to detect foreground sounds in complex audio environments for surveillance and smart home applications. We examine and expand upon previous work in the audio and video domains, and propose a new implementation of an audio background modelling algorithm, addressing the complexities of audio data. A number of audio features characterising different aspects of the audio content were analysed to determine the factors relevant to the determination of the background audio. We test the algorithms on three audio data sets of varying complexity. The new approach was successful in modelling the background audio for the test data.
Notes
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ISBN
0780393325 9780780393325
Language
eng
Field of Research
080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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