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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.

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Title Persistent audio modelling for background determination
Author(s) Moncrieff, Simon
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
West, Geoff
Conference name IEEE International Conference on Multimedia and Expo (2005 : Amsterdam, The Netherlands)
Conference location Amsterdam, The Netherlands
Conference dates 6-8 Jul. 2005
Title of proceedings ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005
Editor(s) [Unknown]
Publication date 2005
Conference series 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 This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2005, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044629

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.