(A) Values of the GLMMs computed separately for each animal species. For each species included in our stimuli set, we assessed acoustic predictors of humans’ ability to identify the vocalizations expressing higher levels of arousal. Bold type indicate p ≤0.05; degrees of freedom = 1 for all fixed factors. (B) Outcome of AICc ranking for GLMMs computed within each animal species. ∆AICc is the difference in AICc between each model and the best model. The Akaike's weights indicates the relative support that a given model has from the data, compared to other candidate models. Bold type indicates models with the highest power to explain variation in the dependent variable, based on lowest AICc
Full list of author information is available at the end of the articleIntroduction The acoustic comm...
<p>**–p<0.001</p><p>*–p<0.05, ns–p>0.05. The largest values for F-estimates were highlighted in bold...
<div><p>Voice-induced cross-taxa emotional recognition is the ability to understand the emotional st...
(A) Values of the GLMMs computed across animal species. We assessed acoustic predictors of humans’ a...
Descriptive table of acoustic values of the low and high arousal vocalizations of each species. For ...
Description of the vocalization sample used in our study and, when applicable, of the published stud...
Writing over a century ago, Darwin hypothesized that vocal expression of emotion dates back to our e...
Writing over a century ago, Darwin hypothesized that vocal expression of emotion dates back to our e...
International audienceWriting over a century ago, Darwin hypothesized that vocal expression of emoti...
The perception of danger in the environment can induce physiological responses (such as a heightened...
Recently, evidence for acoustic universals in vocal communication was found by demonstrating that hu...
Voice-induced cross-taxa emotional recognition is the ability to understand the emotional state of a...
This paper introduces the Greenwood Function Cepstral Coefficient (GFCC) and Generalized Perceptual ...
Humans and other mammalian species communicate emotions in ways that reflect evolutionary conservati...
Humans are adept at extracting affective information from vocalizations of humans and other animals....
Full list of author information is available at the end of the articleIntroduction The acoustic comm...
<p>**–p<0.001</p><p>*–p<0.05, ns–p>0.05. The largest values for F-estimates were highlighted in bold...
<div><p>Voice-induced cross-taxa emotional recognition is the ability to understand the emotional st...
(A) Values of the GLMMs computed across animal species. We assessed acoustic predictors of humans’ a...
Descriptive table of acoustic values of the low and high arousal vocalizations of each species. For ...
Description of the vocalization sample used in our study and, when applicable, of the published stud...
Writing over a century ago, Darwin hypothesized that vocal expression of emotion dates back to our e...
Writing over a century ago, Darwin hypothesized that vocal expression of emotion dates back to our e...
International audienceWriting over a century ago, Darwin hypothesized that vocal expression of emoti...
The perception of danger in the environment can induce physiological responses (such as a heightened...
Recently, evidence for acoustic universals in vocal communication was found by demonstrating that hu...
Voice-induced cross-taxa emotional recognition is the ability to understand the emotional state of a...
This paper introduces the Greenwood Function Cepstral Coefficient (GFCC) and Generalized Perceptual ...
Humans and other mammalian species communicate emotions in ways that reflect evolutionary conservati...
Humans are adept at extracting affective information from vocalizations of humans and other animals....
Full list of author information is available at the end of the articleIntroduction The acoustic comm...
<p>**–p<0.001</p><p>*–p<0.05, ns–p>0.05. The largest values for F-estimates were highlighted in bold...
<div><p>Voice-induced cross-taxa emotional recognition is the ability to understand the emotional st...