venkatesh-persistentaudio-2005.pdf (175.5 kB)
Persistent audio modelling for background determination
conference contribution
posted on 2005-01-01, 00:00 authored by S Moncrieff, Svetha VenkateshSvetha Venkatesh, G WestThis 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.
History
Event
IEEE International Conference on Multimedia and Expo (2005 : Amsterdam, The Netherlands)Pagination
41 - 44Publisher
IEEELocation
Amsterdam, The NetherlandsPlace of publication
Piscataway, N. J.Start date
2005-07-06End date
2005-07-08ISBN-13
9780780393325ISBN-10
0780393325Language
engNotes
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.Publication classification
E1.1 Full written paper - refereedCopyright notice
2005, IEEETitle of proceedings
ICME 2005 : Proceedings of the IEEE International Conference on Multimedia and Expo 2005Usage metrics
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