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Online audio background determination for complex audio environments
journal contribution
posted on 2007-05-01, 00:00 authored by S Moncrieff, Svetha VenkateshSvetha Venkatesh, G WestWe present a method for foreground/background separation of audio using a background modelling technique. The technique models the background in an online, unsupervised, and adaptive fashion, and is designed for application to long term surveillance and monitoring problems. The background is determined using a statistical method to model the states of the audio over time. In addition, three methods are used to increase the accuracy of background modelling in complex audio environments. Such environments can cause the failure of the statistical model to accurately capture the background states. An entropy-based approach is used to unify background representations fragmented over multiple states of the statistical model. The approach successfully unifies such background states, resulting in a more robust background model. We adaptively adjust the number of states considered background according to background complexity, resulting in the more accurate classification of background models. Finally, we use an auxiliary model cache to retain potential background states in the system. This prevents the deletion of such states due to a rapid influx of observed states that can occur for highly dynamic sections of the audio signal. The separation algorithm was successfully applied to a number of audio environments representing monitoring applications.
History
Journal
ACM transactions on multimedia computing communications and applicationsVolume
3Issue
2Pagination
1 - 30Publisher
Association for Computing MachineryLocation
New York, N. Y.ISSN
1551-6857eISSN
1551-6865Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2007, ACMUsage metrics
Categories
Keywords
audio analysisonline background modellingsurveillance and monitoringScience & TechnologyTechnologyComputer Science, Information SystemsComputer Science, Software EngineeringComputer Science, Theory & MethodsComputer SciencealgorithmsmanagementInformation SystemsComputer SoftwareDistributed Computing
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