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   <dc:title>Evidence for vocal signatures and voice-prints in a wild parrot</dc:title>
   <dc:creator>Smeele, Simeon Q.</dc:creator>
   <dc:creator>Senar, Juan Carlos</dc:creator>
   <dc:creator>Aplin, Lucy M.</dc:creator>
   <dc:creator>McElreath, Mary Brooke</dc:creator>
   <dc:subject>Comunicació animal</dc:subject>
   <dc:subject>Cotorres</dc:subject>
   <dc:subject>59</dc:subject>
   <dc:description>In humans, identity is partly encoded in a voice-print that is
carried across multiple vocalizations. Other species also signal
vocal identity in calls, such as shown in the contact call of
parrots. However, it remains unclear to what extent other call
types in parrots are individually distinct, and whether there is
an analogous voice-print across calls. Here we test if an
individual signature is present in other call types, how stable
this signature is, and if parrots exhibit voice-prints across call
types. We recorded 5599 vocalizations from 229 individually
marked monk parakeets (Myiopsitta monachus) over a 2-year
period in Barcelona, Spain. We examined five distinct call
types, finding evidence for an individual signature in three.
We further show that in the contact call, while birds are
individually distinct, the calls are more variable than
previously assumed, changing over short time scales (seconds
to minutes). Finally, we provide evidence for voice-prints
across multiple call types, with a discriminant function being
able to predict caller identity across call types. This suggests
that monk parakeets may be able to use vocal cues to
recognize conspecifics, even across vocalization types and
without necessarily needing active vocal signatures of identity</dc:description>
   <dc:date>2023-10</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>http://hdl.handle.net/2072/537030</dc:identifier>
   <dc:identifier>https://doi.org/10.1098/rsos.230835</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Royal Society Open Science, Vol. 10, Issue 10 (Oct. 2023), 230835, 13 p.</dc:relation>
   <dc:rights>© 2023 The Authors. Published by the Royal Society under the terms of the Creative
Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits
unrestricted use, provided the original author and source are credited.</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>13 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>The Royal Society</dc:publisher>
   <dc:source>RECERCAT (Dipòsit de la Recerca de Catalunya)</dc:source>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>