Evidence suggests vocal production learning in a cross-fostered Risso’s dolphin (Grampus griseus)

Favaro, Livio; Neves, Silvana; Furlati, Stefano; Pessani, Daniela; Martín, Vidal; Janik, Vincent M.

doi:10.1007/s10071-016-0961-x

Cited by 28 publications

(24 citation statements)

References 14 publications

(1 reference statement)

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“…intra-and inter-sexual [61] fo [62] and babbling [63] lack of fo-body size correlation [64] yes (tutor imitation) [25,62] Cetacea Odontoceti (Toothed whales) Tursiops truncatus (bottlenosed dolphin) anecdotal evidence for inter-sexual [65] extensive fo [66] low explained variance (27%) in the minimum fo versus body size regression [67] and no correlation with other acoustic features (as expected given the changes in formants induced by variation in pressure at different depths [68]); no correlation between body mass and acoustic features [67] yes (imitation, innovation) [26,69] Orcinus orca (killer whale) empirical data lacking fo [70] yes (imitation) [26] Grampus griseus (risso's dolphin) empirical data lacking fo [71] yes (imitation of heterospecific whistles) [71] Delphinapterus leucas (beluga whale) anecdotal evidence [72] fo and formants [73] yes (imitation) [26,73] Mysticeti (Baleen whales) Megaptera novaeangliae (humpback whale), Eubalaena sp. (right whale) and Balaena mysticetus (bowhead whale)…”

Section: Stepwise Acquisition Of Vocal Modulation Via Dishonest Signamentioning

confidence: 83%

Acoustic allometry and vocal learning in mammals

Garcia

Ravignani

2020

Biol. Lett.

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Acoustic allometry is the study of how animal vocalizations reflect their body size. A key aim of this research is to identify outliers to acoustic allometry principles and pinpoint the evolutionary origins of such outliers. A parallel strand of research investigates species capable of vocal learning , the experience-driven ability to produce novel vocal signals through imitation or modification of existing vocalizations. Modification of vocalizations is a common feature found when studying both acoustic allometry and vocal learning. Yet, these two fields have only been investigated separately to date. Here, we review and connect acoustic allometry and vocal learning across mammalian clades, combining perspectives from bioacoustics, anatomy and evolutionary biology. Based on this, we hypothesize that, as a precursor to vocal learning, some species might have evolved the capacity for volitional vocal modulation via sexual selection for ‘dishonest' signalling. We provide preliminary support for our hypothesis by showing significant associations between allometric deviation and vocal learning in a dataset of 164 mammals. Our work offers a testable framework for future empirical research linking allometric principles with the evolution of vocal learning.

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Section: Stepwise Acquisition Of Vocal Modulation Via Dishonest Signamentioning

confidence: 83%

Acoustic allometry and vocal learning in mammals

Garcia

Ravignani

2020

Biol. Lett.

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“…Favaro et al . [87] report that a Risso's dolphin ( Grampus griseus ) cross-fostered with bottlenose dolphins produced whistles more like a dolphin in its pool than like wild Grampus , but similarity of whistles from different delphinid species [88] makes this kind of cross-fostering experiment less robust than for species with less overlap in vocal repertoires. Abramson et al .…”

Section: Evidence For Complex Vocal Learning In Non-human Mammalsmentioning

confidence: 99%

A taxonomy for vocal learning

Tyack

2019

Phil. Trans. R. Soc. B

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Humans and songbirds learn to sing or speak by listening to acoustic models, forming auditory templates, and then learning to produce vocalizations that match the templates. These taxa have evolved specialized telencephalic pathways to accomplish this complex form of vocal learning, which has been reported for very few other taxa. By contrast, the acoustic structure of most animal vocalizations is produced by species-specific vocal motor programmes in the brainstem that do not require auditory feedback. However, many mammals and birds can learn to fine-tune the acoustic features of inherited vocal motor patterns based upon listening to conspecifics or noise. These limited forms of vocal learning range from rapid alteration based on real-time auditory feedback to long-term changes of vocal repertoire and they may involve different mechanisms than complex vocal learning. Limited vocal learning can involve the brainstem, mid-brain and/or telencephalic networks. Understanding complex vocal learning, which underpins human speech, requires careful analysis of which species are capable of which forms of vocal learning. Selecting multiple animal models for comparing the neural pathways that generate these different forms of learning will provide a richer view of the evolution of complex vocal learning and the neural mechanisms that make it possible.This article is part of the theme issue ‘What can animal communication teach us about human language?’

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“…However, the mechanisms used by animals to encode individual identity information in calls vary widely. Vocal learners modify the acoustic structure of their vocalisations to generate individually distinctive and unique call types for each group member [ 7 , 8 ]. By contrast, in non-vocal learners, the acoustic features of calls are known to be more fixed and individual variation in vocalisations can originate from distinctiveness in the morphology or size of the vocal apparatus [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Acoustic correlates of body size and individual identity in banded penguins

et al. 2017

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Animal vocalisations play a role in individual recognition and mate choice. In nesting penguins, acoustic variation in vocalisations originates from distinctiveness in the morphology of the vocal apparatus. Using the source-filter theory approach, we investigated vocal individuality cues and correlates of body size and mass in the ecstatic display songs the Humboldt and Magellanic penguins. We demonstrate that both fundamental frequency (f0) and formants (F1-F4) are essential vocal features to discriminate among individuals. However, we show that only duration and f0 are honest indicators of the body size and mass, respectively. We did not find any effect of body dimension on formants, formant dispersion nor estimated vocal tract length of the emitters. Overall, our findings provide the first evidence that the resonant frequencies of the vocal tract do not correlate with body size in penguins. Our results add important information to a growing body of literature on the role of the different vocal parameters in conveying biologically meaningful information in bird vocalisations.

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Evidence suggests vocal production learning in a cross-fostered Risso’s dolphin (Grampus griseus)

Cited by 28 publications

References 14 publications

Acoustic allometry and vocal learning in mammals

Acoustic allometry and vocal learning in mammals

A taxonomy for vocal learning

Acoustic correlates of body size and individual identity in banded penguins

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