Evidence map›Paper›PMID 34482727›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

Cross-species parallels in babbling: animals and algorithms.

Sita M Ter Haar, Ahana A Fernandez, Maya Gratier, Mirjam Knörnschild, Claartje Levelt, Roger K Moore, Michiel Vellema, Xiaoqin Wang, D Kimbrough Oller

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Vocal mimicry in Corvids.Animal cognition · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. From emotional signals to symbols.Frontiers in psychology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Overcoming bias in the comparison of human language and animal communication.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. A convergent interaction engine: vocal communication among marmoset monkeys.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  15. Article
  16. Article
  17. Vocal learning in animals and humans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sita M Ter HaarCognitive Neurobiology and Helmholtz Institute, Department of Psychology, Utrecht University, PO Box 80086, 3508 TB Utrecht, The Netherlands.ORCID 0000-0002-7408-8864
Ahana A FernandezMuseum für Naturkunde - Leibniz Institute for Evolution and Biodiversity Science, Invalidenstrasse 43, 10115 Berlin, Germany.ORCID 0000-0002-4298-4736
Maya GratierLaboratoire Ethologie, Cognition, Développement, Paris Nanterre University, Nanterre, France.
Mirjam KnörnschildMuseum für Naturkunde - Leibniz Institute for Evolution and Biodiversity Science, Invalidenstrasse 43, 10115 Berlin, Germany.ORCID 0000-0003-0448-9600
Claartje LeveltLeiden University Centre for Linguistics, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-2916-0326
Roger K MooreDepartment Computer Science, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0065-3311
Michiel VellemaCognitive Neurobiology and Helmholtz Institute, Department of Psychology, Utrecht University, PO Box 80086, 3508 TB Utrecht, The Netherlands.ORCID 0000-0001-7172-4776
Xiaoqin WangLaboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-3999-0772
D Kimbrough OllerSchool of Communication Sciences and Disorders, University of Memphis, Memphis, TN, USA.ORCID 0000-0001-5527-5982

Funding

Infant Vocal Communication: Typical Development and Autism RiskR01DC015108 · NIDCD · UNIVERSITY OF MEMPHIS · PI GIPSON, TANJALA TRINETTE, OLLER, D. KIMBROUGH · 2016 to 2020
$2.8M
NIDCD NIH HHS R01 DC015108
6 · The paper itself

Abstract

A key feature of vocal ontogeny in a variety of taxa with extensive vocal repertoires is a developmental pattern in which vocal exploration is followed by a period of category formation that results in a mature species-specific repertoire. Vocal development preceding the adult repertoire is often called 'babbling', a term used to describe aspects of vocal development in species of vocal-learning birds, some marine mammals, some New World monkeys, some bats and humans. The paper summarizes the results of research on babbling in examples from five taxa and proposes a unifying definition facilitating their comparison. There are notable similarities across these species in the developmental pattern of vocalizations, suggesting that vocal production learning might require babbling. However, the current state of the literature is insufficient to confirm this suggestion. We suggest directions for future research to elucidate this issue, emphasizing the importance of (i) expanding the descriptive data and seeking species with complex mature repertoires where babbling may not occur or may occur only to a minimal extent; (ii) (quasi-)experimental research to tease apart possible mechanisms of acquisition and/or self-organizing development; and (iii) computational modelling as a methodology to test hypotheses about the origins and functions of babbling. This article is part of the theme issue 'Vocal learning in animals and humans'.

Indexed as

AlgorithmsBirdsLearningMammalsVocalization, AnimalAnimalsHumansPlatyrrhiniSpecies Specificitybabblingcomparative vocal ontogenyevolution of vocal communicationvocal explorationvocal learningvocal play

Identifiers

PMID34482727
PMCPMC8419573

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.