<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dezecache, Guillaume</style></author><author><style face="normal" font="default" size="100%">Berthet, Mélissa</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Working hypotheses on the meaning of general alarm calls</style></title><secondary-title><style face="normal" font="default" size="100%">Animal Behaviour</style></secondary-title><short-title><style face="normal" font="default" size="100%">Animal Behaviour</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">alarm call</style></keyword><keyword><style  face="normal" font="default" size="100%">context</style></keyword><keyword><style  face="normal" font="default" size="100%">functional referentiality</style></keyword><keyword><style  face="normal" font="default" size="100%">general alarm call</style></keyword><keyword><style  face="normal" font="default" size="100%">informativity principle</style></keyword><keyword><style  face="normal" font="default" size="100%">Meaning</style></keyword><keyword><style  face="normal" font="default" size="100%">semantics</style></keyword><keyword><style  face="normal" font="default" size="100%">vocalization</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-08-2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://linkinghub.elsevier.com/retrieve/pii/S0003347218301908https://api.elsevier.com/content/article/PII:S0003347218301908?httpAccept=text/xmlhttps://api.elsevier.com/content/article/PII:S0003347218301908?httpAccept=text/plain</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">142</style></volume><pages><style face="normal" font="default" size="100%">113 - 118</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;General calls are present in the vocal repertoire of a great number of animal species. Because of their lack of context specificity, they are typically argued to possess blurred meaning, or even no meaning at all. Although recent animal cognition studies have demonstrated a growing interest in these vocalizations, there is currently no clear definition of general calls, and their meaning is seldom discussed. Here, we propose a definition of general calls, and review various hypotheses regarding their meaning, focusing on alert contexts. We first discuss the hypothesis that general alarm calls have a general alert meaning. Second, we review an alternative view, that general calls in fact have a specific meaning. With this review, we encourage further research that could help delve into the mechanisms underlying vocal production and comprehension and would improve our understanding of general and specific calls in animals.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Elie, Julie E.</style></author><author><style face="normal" font="default" size="100%">Theunissen, Frédéric E.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The vocal repertoire of the domesticated zebra finch: a data-driven approach to decipher the information-bearing acoustic features of communication signals</style></title><secondary-title><style face="normal" font="default" size="100%">Animal Cognition</style></secondary-title><short-title><style face="normal" font="default" size="100%">Anim Cogn</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Acoustic signature</style></keyword><keyword><style  face="normal" font="default" size="100%">classification</style></keyword><keyword><style  face="normal" font="default" size="100%">Meaning</style></keyword><keyword><style  face="normal" font="default" size="100%">Regularization</style></keyword><keyword><style  face="normal" font="default" size="100%">Songbird</style></keyword><keyword><style  face="normal" font="default" size="100%">vocalization</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-03-2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://link.springer.com/10.1007/s10071-015-0933-6</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">285 - 315</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Although a universal code for the acoustic features of animal vocal communication calls may not exist, the thorough analysis of the distinctive acoustical features of vocalization categories is important not only to decipher the acoustical code for a specific species but also to understand the evolution of communication signals and the mechanisms used to produce and understand them. Here, we recorded more than 8000 examples of almost all the vocalizations of the domesticated zebra finch, Taeniopygia guttata: vocalizations produced to establish contact, to form and maintain pair bonds, to sound an alarm, to communicate distress or to advertise hunger or aggressive intents. We characterized each vocalization type using complete representations that avoided any a priori assumptions on the acoustic code, as well as classical bioacoustics measures that could provide more intuitive interpretations. We then used these acoustical features to rigorously determine the potential information-bearing acoustical features for each vocalization type using both a novel regularized classifier and an unsupervised clustering algorithm. Vocalization categories are discriminated by the shape of their frequency spectrum and by their pitch saliency (noisy to tonal vocalizations) but not particularly by their fundamental frequency. Notably, the spectral shape of zebra finch vocalizations contains peaks or formants that vary systematically across categories and that would be generated by active control of both the vocal organ (source) and the upper vocal tract (filter).&lt;/p&gt;
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