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dc.contributor.authorBittle, Michael
dc.contributor.authorDuncan, Alec
dc.contributor.editorTerrance McMinn
dc.date.accessioned2017-01-30T11:11:54Z
dc.date.available2017-01-30T11:11:54Z
dc.date.created2014-03-25T20:00:39Z
dc.date.issued2013
dc.identifier.citationBittle, Michael and Duncan, Alec. 2013. A review of current marine mammal detection and classification algorithms for use in automated passive acoustic monitoring, in McMinn, T. (ed), Proceedings of Acoustics: Science, Technology and Amenity, Nov 17-20 2013, pp. 1-8. Victor Harbour, South Australia: Australian Acoustical Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/9323
dc.description.abstract

The detection and classification of marine mammal vocalisations is an important component in noise mitigation strategies and in the tracking of animals for research purposes. These complex vocalisations span a broad range of frequencies with differences between and within species, and with temporal and geographical variations adding further complexity. Passive Acoustic Monitoring (PAM) systems can be deployed for long periods and can collect large volumes of data, becoming impractical for human operators to manually process due to the significant effort required. Many signal processing algorithms to automate this process have been produced with mixed results. Some are focused on the identification of single species while others handle a variety. No single algorithm is ideal for detecting and classifying all species concurrently, so any automated system requires a suite of these algorithms. A number of these algorithms are summarised here as part of an initial step in the construction of a PAM system incorporating real-time detection and classification.

dc.publisherAustralian Acoustical Society
dc.relation.urihttp://www.acoustics.asn.au/conference_proceedings/AAS2013/papers/p64.pdf
dc.titleA review of current marine mammal detection and classification algorithms for use in automated passive acoustic monitoring
dc.typeConference Paper
dcterms.source.volume41
dcterms.source.number1
dcterms.source.startPage1
dcterms.source.endPage8
dcterms.source.titleA review of current marine mammal detection and classification algorithms for use in automated passive acoustic monitoring
dcterms.source.seriesA review of current marine mammal detection and classification algorithms for use in automated passive acoustic monitoring
dcterms.source.isbn9780646912189
dcterms.source.conferenceA review of current marine mammal detection and classification algorithms for use in automated passive acoustic monitoring
dcterms.source.conference-start-dateNov 17 2013
dcterms.source.conferencelocationVictor Harbour South Australia
dcterms.source.placeAustralia
curtin.department
curtin.accessStatusFulltext not available


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