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Revealing structure in vocalisations of parrots and social whales

dc.contributor.advisorWörgötter, Florentin Prof. Dr.
dc.contributor.authorNoriega Romero Vargas, Maria Florencia
dc.date.accessioned2018-08-06T08:46:02Z
dc.date.available2018-08-06T08:46:02Z
dc.date.issued2018-08-06
dc.identifier.urihttp://hdl.handle.net/11858/00-1735-0000-002E-E469-8
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-6992
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc570de
dc.titleRevealing structure in vocalisations of parrots and social whalesde
dc.typedoctoralThesisde
dc.contributor.refereeTimme, Marc Prof. Dr.
dc.date.examination2017-08-07
dc.description.abstractengThis thesis proposes methods to investigate structure in bioacoustic signals. For this two frameworks are proposed. The first concerns the automatic annotation of audio recordings by using supervised machine learning methods. The second concerns a quantitative analysis of temporal and combinatorial patterns in vocal sequences of animals by using non-parametric statistics. These methods are used to investigate vocalisations of two wild living animals — known very little — in their natural ecosystems: lilac crowned parrots and pilot whales.de
dc.contributor.coRefereeHammerschmidt, Kurt Dr.
dc.subject.engbioacousticsde
dc.subject.engpilot whalesde
dc.subject.engparrotsde
dc.subject.engaudio signal processingde
dc.subject.engmachine learningde
dc.subject.enganimal vocalisationsde
dc.identifier.urnurn:nbn:de:gbv:7-11858/00-1735-0000-002E-E469-8-7
dc.affiliation.instituteGöttinger Graduiertenschule für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB)de
dc.subject.gokfullBiologie (PPN619462639)de
dc.identifier.ppn1028372825


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