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dc.contributor.authorKershenbaum, Arik
dc.contributor.authorBlumstein, Dan
dc.contributor.authorRoch, Marie
dc.contributor.authorAkçay, Çaglar
dc.contributor.authorBackus, Gregory
dc.contributor.authorBee, Mark A.
dc.contributor.authorBohn, Kirsten
dc.contributor.authorCao, Yan
dc.contributor.authorCarter, Gerald
dc.contributor.authorCäsar, Cristiane
dc.contributor.authorCoen, Michael
dc.contributor.authorDe Ruiter, Stacy Lynn
dc.contributor.authorDoyle, Laurance
dc.contributor.authorEdelman, Shimon
dc.contributor.authorFerrer-i-Cancho, Ramon
dc.contributor.authorFreeberg, Todd M.
dc.contributor.authorGarland, Ellen Clare
dc.contributor.authorGustison, Morgan
dc.contributor.authorHarley, Heidi E.
dc.contributor.authorHuetz, Chloé
dc.contributor.authorHughes, Melissa
dc.contributor.authorBruno, Julia Hyland
dc.contributor.authorIlany, Amiyaal
dc.contributor.authorJin, Dezhe Z.
dc.contributor.authorJohnson, Michael
dc.contributor.authorJu, Chenghui
dc.contributor.authorKarnowski, Jeremy
dc.contributor.authorLohr, Bernard
dc.contributor.authorManser, Marta
dc.contributor.authorMcCowan, Brenda
dc.contributor.authorMercado III, Eduardo
dc.contributor.authorNarins, Peter M.
dc.contributor.authorPiel, Alex
dc.contributor.authorRice, Megan
dc.contributor.authorSalmi, Roberta
dc.contributor.authorSasahara, Kazutoshi
dc.contributor.authorSayigh, Laela
dc.contributor.authorShiu, Yu
dc.contributor.authorTaylor, Charles
dc.contributor.authorVallejo, Edgar E.
dc.contributor.authorWaller, Sara
dc.contributor.authorZamora-Gutierrez, Veronica
dc.date.accessioned2015-11-26T00:11:39Z
dc.date.available2015-11-26T00:11:39Z
dc.date.issued2016-02
dc.identifier.citationKershenbaum , A , Blumstein , D , Roch , M , Akçay , Ç , Backus , G , Bee , M A , Bohn , K , Cao , Y , Carter , G , Cäsar , C , Coen , M , De Ruiter , S L , Doyle , L , Edelman , S , Ferrer-i-Cancho , R , Freeberg , T M , Garland , E C , Gustison , M , Harley , H E , Huetz , C , Hughes , M , Bruno , J H , Ilany , A , Jin , D Z , Johnson , M , Ju , C , Karnowski , J , Lohr , B , Manser , M , McCowan , B , Mercado III , E , Narins , P M , Piel , A , Rice , M , Salmi , R , Sasahara , K , Sayigh , L , Shiu , Y , Taylor , C , Vallejo , E E , Waller , S & Zamora-Gutierrez , V 2016 , ' Acoustic sequences in non-human animals : a tutorial review and prospectus ' , Biological Reviews of the Cambridge Philosophical Society , vol. 91 , no. 1 , pp. 13-52 . https://doi.org/10.1111/brv.12160en
dc.identifier.issn1464-7931
dc.identifier.otherPURE: 157704210
dc.identifier.otherPURE UUID: 135fb9f1-121c-45cf-a9a3-f8ad70fdeaaa
dc.identifier.otherScopus: 84953775960
dc.identifier.otherORCID: /0000-0002-8240-1267/work/49580205
dc.identifier.otherWOS: 000367985200002
dc.identifier.urihttps://hdl.handle.net/10023/7848
dc.description.abstractAnimal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well-known example of birdsong, other animals such as insects, amphibians,and mammals (including bats, rodents, primates, and cetaceans) also generate complex acoustic sequences. Occasionally, such as with birdsong, the adaptive role of these sequences seems clear (e.g. mate attraction and territorial defence). More often however, researchers have only begun to characterise – let alone understand – the significance and meaning of acoustic sequences. Hypotheses abound, but there is little agreement as to how sequences should be defined and analysed. Our review aims to outline suitable methods for testing these hypotheses, and to describe the major limitations to our current and near-future knowledge on questions of acoustic sequences. This review and prospectus is the result of a collaborative effort between 43 scientists from the fields of animal behaviour, ecology and evolution, signal processing, machine learning,quantitative linguistics, and information theory, who gathered for a 2013 workshop entitled, ‘Analysing vocal sequences in animals’. Our goal is to present not just a review of the state of the art, but to propose a methodological framework that summarises what we suggest are the best practices for research in this field,across taxa and across disciplines. We also provide a tutorial-style introduction to some of the most promising algorithmic approaches for analysing sequences. We divide our review into three sections: identifying the distinct units of an acoustic sequence, describing the different ways that information can be contained within a sequence, and analysing the structure of that sequence. Each of these sections is further subdivided to address the key questions and approaches in that area. We propose a uniform, systematic, and comprehensive approach to studying sequences, with the goal of clarifying research terms used in different fields, and facilitating collaboration and comparative studies. Allowing greater interdisciplinary collaboration will facilitate the investigation of many important questions in the evolution of communication and sociality.
dc.language.isoeng
dc.relation.ispartofBiological Reviews of the Cambridge Philosophical Societyen
dc.rights© 2014. Cambridge Philosophical Society. This is the accepted version of the following article: Acoustic sequences in non-human animals: a tutorial review and prospectus Kershenbaum, A., Blumstein, D., Roch, et al. 2014 In : Biological Reviews of the Cambridge Philosophical Society. Early View, 42 p., which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/brv.12160/abstracten
dc.subjectAcoustic communicationen
dc.subjectInformationen
dc.subjectInformation theoryen
dc.subjectMachine learningen
dc.subjectMarkov modelen
dc.subjectMeaningen
dc.subjectNetwork analysisen
dc.subjectVocalisationen
dc.subjectQH301 Biologyen
dc.subjectQA Mathematicsen
dc.subjectT-NDASen
dc.subject.lccQH301en
dc.subject.lccQAen
dc.titleAcoustic sequences in non-human animals : a tutorial review and prospectusen
dc.typeJournal articleen
dc.contributor.sponsorOffice of Naval Researchen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1111/brv.12160
dc.description.statusPeer revieweden
dc.date.embargoedUntil2017-02-01
dc.identifier.grantnumberN00014-12-1-0204en


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