01534nas a2200133   4500008004100000245008700041210006900128260001600197490000600213520107600219100002001295700003101315856005401346       2018                        eng d00aZebra finches identify individuals using vocal signatures unique to each call type0 aZebra finches identify individuals using vocal signatures unique  cJan-12-20180 v93 a<p>Individual&nbsp; recognition&nbsp; is&nbsp; critical&nbsp; in&nbsp; social&nbsp; animal&nbsp; communication,&nbsp; but&nbsp; it&nbsp; has&nbsp; not&nbsp; beendemonstrated for a complete vocal repertoire. Deciphering the nature of individual signaturesacross call types is necessary to understand how animals solve the problem of combining, inthe same signal, information about identity and behavioral state. We show that distinctsignatures differentiate zebrafinch individuals for each call type. The distinctiveness of thesesignatures varies: contact calls bear strong individual signatures while calls used duringaggressive encounters are less individualized. We propose that the costly solution of usingmultiple signatures evolved because of the limitations of the passivefiltering properties of thebirds&rsquo;vocal organ for generating sufficiently individualized features. Thus, individual recog-nition requires the memorization of multiple signatures for the entire repertoire of con-specifics of interests. We show that zebrafinches excel at these tasks.</p>
1 aElie, Julie, E.1 aTheunissen, Frédéric, E.  uhttp://www.nature.com/articles/s41467-018-06394-902344nas a2200229   4500008004100000022001400041245016000055210006900215260001600284300001400300490000700314520158400321653002301905653001901928653001201947653001901959653001301978653001701991100002002008700003102028856005502059       2016                        eng d  a1435-944800aThe vocal repertoire of the domesticated zebra finch: a data-driven approach to decipher the information-bearing acoustic features of communication signals0 avocal repertoire of the domesticated zebra finch a datadriven ap  cJan-03-2016  a285 - 3150 v193 a<p>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).</p>
10aAcoustic signature10aclassification10aMeaning10aRegularization10aSongbird10avocalization1 aElie, Julie, E.1 aTheunissen, Frédéric, E.  uhttp://link.springer.com/10.1007/s10071-015-0933-6