Unsupervised bird song syllable classification using evolving neural networks

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dc.contributor.author Ranjard, Louis en
dc.contributor.author Ross, Howard en
dc.date.accessioned 2012-03-13T20:53:11Z en
dc.date.issued 2008 en
dc.identifier.citation Journal of the Acoustical Society of America 123(6):4358-4368 2008 en
dc.identifier.issn 0001-4966 en
dc.identifier.uri http://hdl.handle.net/2292/14211 en
dc.description.abstract Evolution of bird vocalizations is subjected to selection pressure related to their functions. Passerine bird songs are also under a neutral model of evolution because of the learning process supporting their transmission; thus they contain signals of individual, population, and species relationships. In order to retrieve this information, large amounts of data need to be processed. From vocalization recordings, songs are extracted and encoded as sequences of syllables before being compared. Encoding songs in such a way can be done either by ear and spectrogram visual analysis or by specific algorithms permitting reproducible studies. Here, a specific automatic method is presented to compute a syllable distance measure allowing an unsupervised classification of song syllables. Results obtained from the encoding of White-crowned Sparrow (Zonotrichia leucophrys pugetensis) songs are compared to human-based analysis. en
dc.publisher Acoustical Society of America en
dc.relation.ispartofseries Journal of the Acoustical Society of America en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0001-4966/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Unsupervised bird song syllable classification using evolving neural networks en
dc.type Journal Article en
dc.identifier.doi 10.1121/1.2903861 en
pubs.begin-page 4358 en
pubs.volume 123 en
dc.rights.holder Copyright: Acoustical Society of America en
dc.identifier.pmid 18537387 en
pubs.end-page 4368 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 81480 en
pubs.record-created-at-source-date 2010-09-01 en
pubs.dimensions-id 18537387 en


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