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dc.contributor.authorKershenbaum, Arik
dc.contributor.authorBlumstein, Daniel T.
dc.contributor.authorRoch, Marie A.
dc.contributor.authorFerrer Cancho, Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-03-23T08:55:32Z
dc.date.available2017-03-23T08:55:32Z
dc.date.issued2016-02
dc.identifier.citationKershenbaum, A., Blumstein, D., Roch, M., Ferrer-i-Cancho, R.... [et al.]. Acoustic sequences in non-human animals: a tutorial review and prospectus. "Biological reviews", Febrer 2016, vol. 91, núm. 1, p. 13-52.
dc.identifier.issn1464-7931
dc.identifier.urihttp://hdl.handle.net/2117/102816
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.format.extent40 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshAnimal communication
dc.subject.otherAcoustic communication
dc.subject.otherInformation
dc.subject.otherInformation theory
dc.subject.otherMachine learning
dc.subject.otherMarkov model
dc.subject.otherMeaning
dc.subject.otherNetwork analysis
dc.subject.otherSequence analysis
dc.subject.otherVocalisation
dc.titleAcoustic sequences in non-human animals: a tutorial review and prospectus
dc.typeArticle
dc.subject.lemacComunicació animal
dc.contributor.groupUniversitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
dc.identifier.doi10.1111/brv.12160
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1111/brv.12160/abstract
dc.rights.accessOpen Access
local.identifier.drac19809891
dc.description.versionPostprint (author's final draft)
local.citation.authorKershenbaum, A.; Blumstein, D.; Roch, M.; Ferrer-i-Cancho, R.
local.citation.publicationNameBiological reviews
local.citation.volume91
local.citation.number1
local.citation.startingPage13
local.citation.endingPage52


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