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How learning affects vocalizations is a key question in the study of animal communication and human language. Parallel efforts in birds and humans have taught us much about how vocal learning works on a behavioural and neurobiological level. Subsequent efforts have revealed a variety of cases among mammals in which experience also has a major influence on vocal repertoires. Janik and Slater (, 1-11. (doi:10.1006/anbe.2000.1410)) introduced the distinction between vocal usage and production learning, providing a general framework to categorize how different types of learning influence vocalizations. This idea was built on by Petkov and Jarvis (, 12. (doi:10.3389/fnevo.2012.00012)) to emphasize a more continuous distribution between limited and more complex vocal production learners. Yet, with more studies providing empirical data, the limits of the initial frameworks become apparent. We build on these frameworks to refine the categorization of vocal learning in light of advances made since their publication and widespread agreement that vocal learning is not a binary trait. We propose a novel classification system, based on the definitions by Janik and Slater, that deconstructs vocal learning into key dimensions to aid in understanding the mechanisms involved in this complex behaviour. We consider how vocalizations can change without learning, and a usage learning framework that considers context specificity and timing. We identify dimensions of vocal production learning, including the copying of auditory models (convergence/divergence on model sounds, accuracy of copying), the degree of change (type and breadth of learning) and timing (when learning takes place, the length of time it takes and how long it is retained). We consider grey areas of classification and current mechanistic understanding of these behaviours. Our framework identifies research needs and will help to inform neurobiological and evolutionary studies endeavouring to uncover the multi-dimensional nature of vocal learning. This article is part of the theme issue 'Vocal learning in animals and humans'.
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http://dx.doi.org/10.1098/rstb.2020.0236 | DOI Listing |
PLoS One
September 2025
Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
Research over the last 20 years has shed important light on the vocal behaviour of our closest living relatives, bonobos and chimpanzees, but mostly relies on qualitative vocal repertoires, for which quantitative validations are absent. Such data are critical for a holistic understanding of a species` communication system and unpacking how these systems compare more broadly with other primate and non-primate species. Here we make key progress by providing the first quantitative validation of a Pan vocal repertoire, specifically for wild bonobos.
View Article and Find Full Text PDFPLoS One
September 2025
School of Psychology and Neuroscience, University of St Andrews, St Andrews, Fife, Scotland.
Many animal species live in multi-level societies regulated by complex patterns of dominance. Avoiding competition with dominant group-mates for resources such as food and mates is an important skill for subordinate individuals in these societies, if they wish to evade harassment and aggression. Chimpanzees (Pan troglodytes) are an example of such a species.
View Article and Find Full Text PDFAnim Cogn
September 2025
Department of Psychology, University of Cambridge, Downing Street, Cambridge, CB2 3EB, UK.
Although many animal species are known to learn to respond to human verbal commands, this ability is understudied, as are the cues used to do so. For the best-studied species, the dog, domestication itself is used to justify successful attending to human communicative cues. However, the role of domestication in sensitivity to human cues remains debated.
View Article and Find Full Text PDFJ Voice
September 2025
School of Music, University of Minnesota, Minneapolis, MN 55455. Electronic address:
Introduction: Due to its tonal and syllabic structures, Chinese speakers may encounter unique difficulties when learning native Western operatic techniques. These challenges are particularly evident in balancing pitch control, subglottic pressure, and vowel production. The present study examines how native language influences vocal performance, using the Italian art song Caro mio ben as a test piece for singers from different language backgrounds.
View Article and Find Full Text PDFFront Psychol
August 2025
School of the Arts, Universiti Sains Malaysia, Penang, Malaysia.
Introduction: Metacognition plays a vital role in enhancing learning outcomes and has received increasing attention in recent years. Studies have shown that accomplished musicians typically demonstrate high levels of metacognition, and that reflection and feedback are effective strategies for promoting metacognitive development. This study explores the impact of integrating artificial intelligence (AI) and e-learning tools into vocal music training.
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