Acoustic sequences in non‐human animals: a tutorial review and prospectus
Open accessAbstract
Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well‐known example of birdsong, other animals such as insects, amphibians, and mammals (including bats, rodents, primates, and cetaceans) also generate complex acoustic sequences. Occasionally, such as with birdsong, the adaptive role of these sequences seems clear (e.g. mate attraction and territorial defence). More often however, researchers have only begun to characterise – let alone understand – the significance and meaning of acoustic sequences. Hypotheses abound, but there is little agreement as to how sequences should be defined and analysed. Our review aims to outline suitable methods for testing these hypotheses, and to describe the major limitations to our current and near‐future knowledge on questions of acoustic sequences. This review and prospectus is the result of a collaborative effort between 43 scientists from the fields of animal behaviour, ecology and evolution, signal processing, machine learning, quantitative linguistics, and information theory, who gathered for a 2013 workshop entitled, ‘A nalysing vocal sequences in animals’. Our goal is to present not just a review of the state of the art, but to propose a methodological framework that summarises what we suggest are the best practices for research in this field, across taxa and across disciplines. We also provide a tutorial‐style introduction to some of the most promising algorithmic approaches for analysing sequences. We divide our review into three sections: identifying the distinct units of an acoustic sequence, describing the different ways that information can be contained within a sequence, and analysing the structure of that sequence. Each of these sections is further subdivided to address the key questions and approaches in that area. We propose a uniform, systematic, and comprehensive approach to studying sequences, with the goal of clarifying research terms used in different fields, and facilitating collaboration and comparative studies. Allowing greater interdisciplinary collaboration will facilitate the investigation of many important questions in the evolution of communication and sociality.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Standardising methodologies will avoid confusion and enable meaningful comparisons across species, populations, sexes, developmental stages, and behavioural contexts.
“Standardising methodologies will avoid confusion and enable meaningful comparisons across species, populations, sexes, developmental stages, and behavioural contexts (Broughton 1963; Ruxton and Schaefer 2011; Kershenbaum et al. 2016).”
From Roars, Rumbles, and Resonance: A Systematic Review and Meta‐Analysis of Crocodylian Acoustic Signals (2026) · cites this paper as Kershenbaum et al. 2016
The Abstract (page unavailable) proposes a uniform approach to clarify terminology and facilitate comparative studies across taxa, supporting the claim’s general point. The Introduction likewise describes bridging inconsistent terminology across disciplines and taxa. The paper does not specifically say that standardisation will enable comparisons across populations, sexes, developmental stages, and behavioural contexts. (LLM, conf=0.82)
Experimental — accuracy not yet measuredDifferences in acoustic signalling syntax may allow species identification and potentially contain contextual, individual and/or behavioural information.
“Differences in acoustic signalling syntax (i.e., the sequence of signal elements) may allow species identification and potentially contain contextual, individual and/or behavioural information (Garrick et al. 1978; Kershenbaum et al. 2016).”
From Roars, Rumbles, and Resonance: A Systematic Review and Meta‐Analysis of Crocodylian Acoustic Signals (2026) · cites this paper as Kershenbaum et al. 2016
Section VI(3), “How do individual differences in acoustic sequences arise?”, says variation in syntax may reflect aggression and that phrase sequences can distinguish individual birds. Section IV(7) describes different call sequences carrying different meanings, supporting the possibility of contextual or behavioural information. Section VI(4) discusses a possible role for sequence syntax in speciation, but does not establish that syntactic differences allow species identification. (LLM, conf=0.82)
Experimental — accuracy not yet measuredConceptual work on sequence structure, mammalian source-filter theory, and signal embedding in social networks provides a theoretical foundation for interpreting meaning in animal vocalizations.
“Conceptual work on sequence structure (Kershenbaum et al. 2016), mammalian source–filter theory (Taylor and Reby 2010), and signal embedding in social networks (Seyfarth and Cheney 2017; Snijders and Naguib 2017) provide a theoretical foundation.”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Kershenbaum et al. 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 49,574 · see citing works
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 37,139 · see citing works
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743 · see citing works
Seel, N. M. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,525 · see citing works
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719 · see citing works
A Wavelet Tour of Signal Processing
Mallat, S. (1999) · Elsevier eBooks · doi:10.1016/b978-0-12-466606-1.x5000-4 · Cited by 16,383 · see citing works
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237 · see citing works
Introduction to information retrieval
(2009) · Choice Reviews Online · doi:10.5860/choice.46-2715 · Cited by 12,278 · see citing works
Gephi: An Open Source Software for Exploring and Manipulating Networks
Bastian, M., Heymann, S., & Jacomy, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v3i1.13937 · Cited by 11,675 · see citing works
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293 · see citing works
Introduction to Information Retrieval
Manning, C. D., Raghavan, P., & Schütze, H. (2008) · doi:10.1017/cbo9780511809071 · Cited by 11,288 · see citing works
The igraph software package for complex network research
Csárdi, G., & Nepusz, T. (2006) · Medical Entomology and Zoology · Cited by 10,078 · see citing works
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,875 · see citing works
Chomsky, N. (1957) · doi:10.1515/9783112316009 · Cited by 7,885 · see citing works
Network motifs: simple building blocks of complex networks.
Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002) · Science · doi:10.1126/science.298.5594.824 · Cited by 7,368 · see citing works
Human behavior and the principle of least effort
Zipf, G. K. (1949) · Max Planck Digital Library · Cited by 6,598 · see citing works
Newman, M. (2010) · doi:10.1093/acprof:oso/9780199206650.001.0001 · Cited by 6,595 · see citing works
Pattern Recognition and Neural Networks
Ripley, B. D. (1996) · Cambridge University Press eBooks · doi:10.1017/cbo9780511812651 · Cited by 6,446 · see citing works
(1960) · Medical Entomology and Zoology · Cited by 5,851 · see citing works
The faculty of language: what is it, who has it, and how did it evolve?
Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002) · Science · doi:10.1126/science.298.5598.1569 · Cited by 5,189 · see citing works
Spectrum estimation and harmonic analysis
Thomson, D. J. (1982) · Proceedings of the IEEE · doi:10.1109/proc.1982.12433 · Cited by 4,411 · see citing works
SRILM - an extensible language modeling toolkit
Stolcke, A. (2002) · International Conference on Spoken Language Processing (ICSLP) · doi:10.21437/icslp.2002-303 · Cited by 4,385 · see citing works
Jurafsky, D. S., & Martin, J. (2000) · Cited by 4,132 · see citing works
The architecture of complex weighted networks.
Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2003) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0400087101 · Cited by 4,084 · see citing works
An Introduction to the Psychology of Hearing
Moore, B. (1997) · BRILL eBooks · doi:10.1163/9789004658820 · Cited by 3,961 · see citing works
Putnam, H. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511625251.014 · Cited by 3,771 · see citing works
Node centrality in weighted networks: Generalizing degree and shortest paths
Opsahl, T., Agneessens, F., & Skvoretz, J. V. (2010) · Social Networks · doi:10.1016/j.socnet.2010.03.006 · Cited by 3,734 · see citing works
A survey of cross-validation procedures for model selectionPreprint
Arlot, S., & Célisse, A. (2009) · Cited by 3,627 · see citing works
Language identification in the limit
Gold, E. M. (1967) · Information and Control · doi:10.1016/s0019-9958(67)91165-5 · Cited by 3,572 · see citing works
A survey of cross-validation procedures for model selection
Arlot, S., & Celisse, A. (2010) · Statistics Surveys · doi:10.1214/09-ss054 · Cited by 3,522 · see citing works
Binder, M. D., Hirokawa, N., & Windhorst, U. (2008) · Springer eBooks · doi:10.1007/978-3-540-29678-2_6014 · Cited by 2,863 · see citing works
Control Methods Used in a Study of the Vowels
Peterson, G. E., & Barney, H. L. (1952) · The Journal of the Acoustical Society of America · doi:10.1121/1.1906875 · Cited by 2,837 · cited 1× · see citing works
“Formants and formant transitions have been strongly implicated in human perception of vowels and voiced consonants, and may also be used by other species to perceive information (Peterson & Barney, 1952; Raemaekers, Raemaekers & Haimoff, 1984; Fitch, 2000).”
Principles of animal communication
(2012) · Choice Reviews Online · doi:10.5860/choice.49-5059 · Cited by 2,544 · see citing works
Mitchell, M. (2009) · doi:10.1093/oso/9780195124415.001.0001 · Cited by 2,310 · see citing works
Bird song: biological themes and variations
(1996) · Choice Reviews Online · doi:10.5860/choice.33-2735 · Cited by 2,170 · see citing works
Estimation of probabilities from sparse data for the language model component of a speech recognizer
Katz, S. M. (1987) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1987.1165125 · Cited by 1,664 · see citing works
<i>Principles of Voice Production</i>
Titze, I. R., & Martin, D. W. (1998) · The Journal of the Acoustical Society of America · doi:10.1121/1.424266 · Cited by 1,643 · see citing works
Human behavior and the principle of least effort.
indicated, N. A. (1949) · Journal of Consulting Psychology · doi:10.1037/h0052803 · Cited by 1,587 · see citing works
Pochet, P. (2006) · Griffith Research Online · Cited by 1,550 · see citing works
Mining event-related brain dynamics
Makeig, S., Debener, S., Onton, J., & Arnaud Delorme, A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.008 · Cited by 1,499 · see citing works
Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence
Humphries, M. D., & Gurney, K. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002051 · Cited by 1,442 · see citing works
Categorical Perception: The Groundwork of Cognition
Harnad, S. R. (1990) · Medical Entomology and Zoology · Cited by 1,434 · see citing works
Statistical Inference about Markov Chains
Anderson, T. W., & Goodman, L. A. (1957) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177707039 · Cited by 1,417 · see citing works
Inference in Hidden Markov Models
Cappé, O., Rydén, T., & Moulines, É. (2005) · Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · doi:10.1007/0-387-28982-8 · Cited by 1,407 · see citing works
Ecology and evolution of acoustic communication in birds
(1997) · Choice Reviews Online · doi:10.5860/choice.34-2751 · Cited by 1,263 · see citing works
Combining multiple clusterings using evidence accumulation
Fred, A. L. N., & Jain, A. K. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.113 · Cited by 1,198 · see citing works
Gold, B., Morgan, N. H., & Ellis, D. P. W. (2011) · doi:10.1002/9781118142882.ch8 · Cited by 1,120 · see citing works
Inference in Hidden Markov Models
Capp, O., Moulines, É., & Rydèn, T. (2010) · Springer eBooks · Cited by 1,084 · see citing works
The SAGE Handbook of Social Network Analysis
Scott, J. G., & Carrington, P. J. (2014) · SAGE Publications Ltd eBooks · doi:10.4135/9781446294413 · Cited by 1,082 · see citing works
Principles of Animal Communication
Laidre, M. E. (2012) · Animal Behaviour · doi:10.1016/j.anbehav.2011.12.014 · Cited by 991 · see citing works
An ultra-sparse code underliesthe generation of neural sequences in a songbird
Hahnloser, R. H. R., Kozhevnikov, A. A., & Fee, M. S. (2002) · Nature · doi:10.1038/nature00974 · Cited by 986 · see citing works
Complex signal function: developing a framework of testable hypotheses
Hebets, E. A., & Papaj, D. R. (2004) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-004-0865-7 · Cited by 959 · see citing works
Acoustic Communication in Birds
(1982) · Elsevier eBooks · doi:10.1016/c2009-0-03022-0 · Cited by 957 · see citing works
Speaker-independent phone recognition using hidden Markov models
Lee, K.-F., & Hon, H.-W. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.46546 · Cited by 933 · see citing works
Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., & Morris, M. (2008) · Journal of Statistical Software · doi:10.18637/jss.v024.i01 · Cited by 928 · see citing works
Clustering in complex directed networks
Fagiolo, G. (2007) · Physical Review E · doi:10.1103/physreve.76.026107 · Cited by 815 · see citing works
Britto, D. B. D. O. E. (2007) · Revista da Sociedade Brasileira de Fonoaudiologia · doi:10.1590/s1516-80342007000400016 · Cited by 804 · see citing works
Payne, R. S., & McVay, S. (1971) · Science · doi:10.1126/science.173.3997.585 · Cited by 799 · see citing works
Simmons, A. M., Popper, A. N., & Fay, R. R. (2003) · Springer eBooks · doi:10.1007/b98903 · Cited by 767 · see citing works
Signal modeling techniques in speech recognition
Picone, J. (1993) · Proceedings of the IEEE · doi:10.1109/5.237532 · Cited by 758 · see citing works
Animal signals: information or manipulation?
Dawkins, R., & Krebs, J. R. (1978) · Cited by 751 · see citing works
FANMOD: a tool for fast network motif detection
Wernicke, S., & Rasche, F. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl038 · Cited by 750 · see citing works
The evolution of speech: a comparative review.
Fitch, W. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01494-7 · Cited by 743 · see citing works
Markov chain Monte Carlo estimation of exponential random graph models
Snijders, T. A. B. (2002) · Cited by 742 · see citing works
The Evolution of Animal Communication: Reliability and Deception in Signaling Systems
Searcy, W. A., & Nowicki, S. (2010) · Princeton University Press eBooks · doi:10.1515/9781400835720 · Cited by 740 · see citing works
Millikan, R. G. (2004) · The MIT Press eBooks · doi:10.7551/mitpress/7072.001.0001 · Cited by 725 · see citing works
A procedure for an automated measurement of song similarity
Tchernichovski, O., Nottebohm, F., Ho, C. E., Pesaran, B., & Mitra, P. P. (2000) · Animal Behaviour · doi:10.1006/anbe.1999.1416 · Cited by 723 · see citing works
Time-frequency analysis: theory and applications
Cohen, L. W. (1995) · Prentice-Hall, Inc eBooks · Cited by 715 · see citing works
Hasselquist, D., Bensch, S., & von Schantz, T. (1996) · Nature · doi:10.1038/381229a0 · Cited by 694 · see citing works
Vocal tract length and formant frequency dispersion correlate with body size in rhesus macaques
Fitch, W. T. (1997) · The Journal of the Acoustical Society of America · doi:10.1121/1.421048 · Cited by 693 · see citing works
Partan, S. R., & Marler, P. (1999) · Science · doi:10.1126/science.283.5406.1272 · Cited by 689 · see citing works
Hidden Markov Models for Time Series: An Introduction Using R
Zucchini, W., & MacDonald, I. L. (2009) · Thammasat University Digital Collections · Cited by 686 · see citing works
Acoustic Communication in Insects and Anurans: Common Problems and Diverse Solutions
Gerhardt, H. C., Huber, F., & Simmons, A. M. (2003) · The Journal of the Acoustical Society of America · doi:10.1121/1.1591773 · Cited by 683 · see citing works
Acoustic communication in insects and anurans: Common problems and diverse solutions
(2003) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(03)90067-8 · Cited by 680 · see citing works
SEXUAL SELECTION AND THE EVOLUTION OF SONG
Searcy, W. A., & Andersson, M. (1986) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.17.110186.002451 · Cited by 666 · see citing works
Recursive syntactic pattern learning by songbirds
Gentner, T. Q., Fenn, K. M., Margoliash, D., & Nusbaum, H. C. (2006) · Nature · doi:10.1038/nature04675 · Cited by 659 · see citing works
Page, S. E. (2010) · Princeton University Press eBooks · doi:10.1515/9781400835140 · Cited by 632 · see citing works
Bird song: biological themes and variations
(2008) · Choice Reviews Online · doi:10.5860/choice.46-2087 · Cited by 617 · see citing works
Social complexity as a proximate and ultimate factor in communicative complexity
Freeberg, T. M., Dunbar, R., & Ord, T. J. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0213 · Cited by 587 · see citing works
Self-citationBird song, ecology and speciation
Slabbekoorn, H., & Smith, T. B. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.1056 · Cited by 561 · see citing works
Wigner-Ville spectral analysis of nonstationary processes
Martin, W., & Flandrin, P. (1985) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1985.1164760 · Cited by 554 · see citing works
Smith, W. J. (1977) · Harvard University Press eBooks · doi:10.4159/9780674043794 · Cited by 548 · see citing works
Wolves: Behavior, Ecology, and Conservation
Adams, L. G. (2004) · Journal of Wildlife Management · doi:10.2193/0022-541x(2004)068[0739:wbeac]2.0.co;2 · Cited by 536 · see citing works
Podos, J. (1997) · Evolution · doi:10.1111/j.1558-5646.1997.tb02441.x · Cited by 532 · see citing works
Exploring animal social networks
(2009) · Choice Reviews Online · doi:10.5860/choice.46-3243 · Cited by 531 · see citing works
Griffiths, T. D., & Warren, J. D. (2004) · Nature reviews. Neuroscience · doi:10.1038/nrn1538 · Cited by 510 · see citing works
Toward an Instructionally Oriented Theory of Example‐Based Learning
Renkl, A. (2014) · Cognitive Science · doi:10.1111/cogs.12086 · Cited by 509 · see citing works
The Evolution of Complexity by Means of Natural Selection
Bonner, J. T. (1988) · Princeton University Press eBooks · doi:10.1515/9780691222110 · Cited by 505 · see citing works
Gouzoules, S., Gouzoules, H., & Marler, P. (1984) · Animal Behaviour · doi:10.1016/s0003-3472(84)80336-x · Cited by 501 · see citing works
On the meaning of alarm calls: functional reference in an avian vocal system
Evans, C. S., Evans, L., & Marler, P. (1993) · Animal Behaviour · doi:10.1006/anbe.1993.1158 · Cited by 500 · see citing works
Hierarchical Classification by Rank and Kinship in Baboons
Bergman, T. J., Beehner, J. C., Cheney, D. L., & Seyfarth, R. M. (2003) · Science · doi:10.1126/science.1087513 · Cited by 487 · see citing works
Songs to syntax: the linguistics of birdsong
Berwick, R. C., Okanoya, K., Beckers, G. J. L., & Bolhuis, J. J. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.01.002 · Cited by 467 · see citing works
Manser, M. (2001) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2001.1773 · Cited by 465 · see citing works
Self-citationThe Gestural Communication of Apes and Monkeys
Call, J., & Tomasello, M. (2020) · Psychology Press eBooks · doi:10.4324/9781003064541 · Cited by 456 · see citing works
Exploring Animal Social Networks
Croft, D., James, R., & Krause, J. (2008) · Princeton University Press eBooks · doi:10.1515/9781400837762 · Cited by 450 · see citing works
Hidden Markov Models for Time Series
Zucchini, W., & MacDonald, I. L. (2009) · doi:10.1201/9781420010893 · Cited by 449 · see citing works
The what, where and how of auditory-object perception
Bizley, J. K., & Cohen, Y. E. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3565 · Cited by 447 · see citing works
Semantic combinations in primate calls
Arnold, K., & Zuberbühler, K. (2006) · Nature · doi:10.1038/441303a · Cited by 437 · see citing works
Suggested experimental designs for song playbacks
Kroodsma, D. E. (1989) · Animal Behaviour · doi:10.1016/0003-3472(89)90039-0 · Cited by 421 · see citing works
The Evolution of Animal Communication: Reliability and Deception in Signaling Systems
Wright, T. F. (2006) · Ornithological Applications · doi:10.1093/condor/108.4.989 · Cited by 405 · see citing works
Acoustic behaviour of resident killer whales ( Orcinus orca ) off Vancouver Island, British Columbia
Ford, J. K. B. (1989) · Canadian Journal of Zoology · doi:10.1139/z89-105 · Cited by 401 · see citing works
Adami, C. (2002) · BioEssays · doi:10.1002/bies.10192 · Cited by 397 · see citing works
Dsp history - From frequency to quefrency: a history of the cepstrum
Oppenheim, A. V., & Schafer, R. W. (2004) · IEEE Signal Processing Magazine · doi:10.1109/msp.2004.1328092 · Cited by 397 · see citing works
Communication and Behavior of Whales.
Brown, S. G., & Payne, R. (1986) · Journal of Applied Ecology · doi:10.2307/2403106 · Cited by 389 · see citing works
Signature whistle shape conveys identity information to bottlenose dolphins
Janik, V. M., Sayigh, L. S., & Wells, R. S. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509918103 · Cited by 382 · see citing works
Self-citationThe Evolution of Complexity by Means of Natural Selection
Bonner, J. T. (2020) · Princeton University Press eBooks · doi:10.2307/j.ctv173f26c · Cited by 370 · see citing works
Individualized Whistle Contours in Bottle-nosed Dolphins (Tursiops truncatus)
Caldwell, M. C., & Caldwell, D. K. . (1965) · Nature · doi:10.1038/207434a0 · Cited by 367 · see citing works
Hausser, J., & Strimmer, K. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0811.3579 · Cited by 363 · see citing works
Bee, M. A., & Micheyl, C. (2008) · Journal of Comparative Psychology · doi:10.1037/0735-7036.122.3.235 · Cited by 347 · see citing works
Self-citationUnsupervised learning of natural languages
Solan, Z., Horn, D., Ruppin, E., & Edelman, S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409746102 · Cited by 345 · see citing works
Self-citationBaronchelli, A., Ferrer‐i‐Cancho, R., Pastor‐Satorras, R., Chater, N., & Christiansen, M. H. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.04.010 · Cited by 344 · see citing works
Self-citationThe HTK hidden Markov model toolkit: design and philosophy
Young, S. (1993) · Cambridge University Engineering Department Publications Database · Cited by 342 · see citing works
Female Eavesdropping on Male Song Contests in Songbirds
Mennill, D. J., Ratcliffe, L. M., & Boag, P. T. (2002) · Science · doi:10.1126/science.296.5569.873 · Cited by 337 · see citing works
Good‐turing frequency estimation without tears*
Gale, W. A., & Sampson, G. R. (1995) · Journal of Quantitative Linguistics · doi:10.1080/09296179508590051 · Cited by 325 · see citing works
Song-selective auditory circuits in the vocal control system of the zebra finch.
Doupe, A. J., & Konishi, M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.24.11339 · Cited by 324 · see citing works
Dynamic Horizontal Cultural Transmission of Humpback Whale Song at the Ocean Basin Scale
Garland, E. C., Goldizen, A. W., Rekdahl, M. L., Constantine, R., Garrigue, C., Hauser, N. D., Poole, M. M., Robbins, J., & Noad, M. J. (2011) · Current Biology · doi:10.1016/j.cub.2011.03.019 · Cited by 321 · see citing works
Self-citationHow sleep affects the developmental learning of bird song
Derégnaucourt, S., Mitra, P. P., Fehér, O., Pytte, C., & Tchernichovski, O. (2005) · Nature · doi:10.1038/nature03275 · Cited by 320 · see citing works
Review of the Signature-Whistle Hypothesis for the Atlantic Bottlenose Dolphin
Caldwell, M. C., Caldwell, D. K. ., & Tyack, P. L. (1990) · Elsevier eBooks · doi:10.1016/b978-0-12-440280-5.50014-7 · Cited by 319 · see citing works
Song matching in the great tit Parus major L.
Krebs, J. R., Ashcroft, R. E., & Orsdol, K. G. V. (1981) · Animal Behaviour · doi:10.1016/s0003-3472(81)80029-2 · Cited by 306 · see citing works
Pulse interval as a critical parameter in the courtship song of Drosophila melanogaster
Bennet-Clark, H. C., & Ewing, A. W. (1969) · Animal Behaviour · doi:10.1016/s0003-3472(69)80023-0 · Cited by 295 · see citing works
Individual recognition in wild bottlenose dolphins: a field test using playback experiments
Sayigh, L. S., Tyack, P. L., Wells, R. S., Solow, A. R., SCOTT, M. D., & Irvine, A. B. (1999) · Animal Behaviour · doi:10.1006/anbe.1998.0961 · Cited by 295 · see citing works
Self-citationSong Repertoire and Mate Choice in Birds
Searcy, W. A. (1992) · American Zoologist · doi:10.1093/icb/32.1.71 · Cited by 294 · see citing works
The central importance of information in studies of animal communication
Seyfarth, R. M., Cheney, D. L., Bergman, T. J., Fischer, J., Zuberbühler, K., & Hammerschmidt, K. (2010) · Animal Behaviour · doi:10.1016/j.anbehav.2010.04.012 · Cited by 284 · see citing works
Fewell, J. H. (2003) · Science · doi:10.1126/science.1088945 · Cited by 282 · see citing works
Kogan, J. A., & Margoliash, D. (1998) · The Journal of the Acoustical Society of America · doi:10.1121/1.421364 · Cited by 277 · see citing works
Complexity and evolution: What everybody knows
McShea, D. W. (1991) · Biology & Philosophy · doi:10.1007/bf00132234 · Cited by 270 · see citing works
Female mate choice and songbird song repertoires
Byers, B. E., & Kroodsma, D. E. (2008) · Animal Behaviour · doi:10.1016/j.anbehav.2008.10.003 · Cited by 262 · see citing works
Analysis of acoustic elements and syntax in communication sounds emitted by mustached bats
Kanwal, J. S., 松村, 澄., Ohlemiller, K. K., & Suga, N. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.410273 · Cited by 262 · see citing works
Meaningful call combinations in a non-human primate
Arnold, K., & Zuberbühler, K. (2008) · Current Biology · doi:10.1016/j.cub.2008.01.040 · Cited by 257 · see citing works
Finding a parent in a king penguin colony: the acoustic system of individual recognition
Jouventin, P., Aubin, T., & Lengagne, T. (1999) · Animal Behaviour · doi:10.1006/anbe.1999.1086 · Cited by 256 · see citing works
Quantitative Analysis of Animal Vocal Phonology: an Application to Swamp Sparrow Song
Clark, C. W., Marler, P., & Beeman, K. (1987) · Ethology · doi:10.1111/j.1439-0310.1987.tb00676.x · Cited by 254 · see citing works
Using randomization techniques to analyse behavioural data
Adams, D. C., & Anthony, C. D. (1996) · Animal Behaviour · doi:10.1006/anbe.1996.0077 · Cited by 248 · see citing works
Otter, K. A., McGregor, P. K., Terry, A. M. R., Burford, F. R. L., Peake, T. M., & Dabelsteen, T. (1999) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1999.0779 · Cited by 248 · see citing works
Generative model-based document clustering: a comparative study
Zhong, S. S., & Ghosh, J. (2005) · Knowledge and Information Systems · doi:10.1007/s10115-004-0194-1 · Cited by 245 · see citing works
Male Song as a Cue for Mate Choice in the European Starling
Eens, M., Pinxten, R., & Verheyen, R. F. (1991) · Behaviour · doi:10.1163/156853991x00049 · Cited by 243 · see citing works
SONG VARIATION IN AN AVIAN RING SPECIES
Irwin, D. E. (2000) · Evolution · doi:10.1111/j.0014-3820.2000.tb00099.x · Cited by 241 · see citing works
On the perceptual organization of speech.
Remez, R. E., Rubin, P. E., Berns, S. M., Pardo, J. S., & Lang, J. M. (1994) · Psychological Review · doi:10.1037/0033-295x.101.1.129 · Cited by 234 · see citing works
Macedonia, J. M. (1990) · Ethology · doi:10.1111/j.1439-0310.1990.tb00428.x · Cited by 229 · see citing works
Vocal tract length and acoustics of vocalization in the domestic dog ( Canis familiaris )
Riede, T., & Fitch, T. (1999) · Journal of Experimental Biology · doi:10.1242/jeb.202.20.2859 · Cited by 229 · see citing works
Categorical perception of sound frequency by crickets
Wyttenbach, R. A., May, M. L., & Hoy, R. R. (1996) · Science · doi:10.1126/science.273.5281.1542 · Cited by 226 · see citing works
Production, usage, and comprehension in animal vocalizations
Seyfarth, R. M., & Cheney, D. L. (2009) · Brain and Language · doi:10.1016/j.bandl.2009.10.003 · Cited by 225 · see citing works
Multisensory perception in uncertain environments
Munoz, N. E., & Blumstein, D. T. (2012) · Behavioral Ecology · doi:10.1093/beheco/arr220 · Cited by 223 · see citing works
Self-citationA Sober Look at Clustering Stability
Ben-David, S., von Luxburg, U., & Pál, D. (2006) · Lecture notes in computer science · doi:10.1007/11776420_4 · Cited by 221 · see citing works
Ambient noise, motor fatigue, and serial redundancy in chaffinch song
Brumm, H., & Slater, P. J. B. (2006) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-006-0188-y · Cited by 219 · see citing works
Species-universal microstructure in the learned song of the swamp sparrow (Melospiza georgiana)
Marler, P., & Pickert, R. (1984) · Animal Behaviour · doi:10.1016/s0003-3472(84)80143-8 · Cited by 217 · see citing works
Understanding the Complex Song of the European Starling: An Integrated Ethological Approach
Eens, M. (1997) · Advances in the study of behavior · doi:10.1016/s0065-3454(08)60384-8 · Cited by 216 · see citing works
Blue whales respond to simulated mid-frequency military sonar
Goldbogen, J. A., Southall, B. L., DeRuiter, S. L., Calambokidis, J., Friedlaender, A. S., Hazen, E. L., Falcone, E. A., Schorr, G. S., Douglas, A. B., Moretti, D., et al. (2013) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.0657 · Cited by 216 · see citing works
Self-citationvan Heijningen, C. A. A., de Visser, J., Zuidema, W. H., & ten Cate, C. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908113106 · Cited by 215 · see citing works
Call combinations in wild chimpanzees
Boesch, C., & Crockford, C. (2005) · Behaviour · doi:10.1163/1568539054012047 · Cited by 213 · see citing works
The evolution of communication: information and manipulation
Wiley (1983) · Animal Behaviour · Cited by 213 · see citing works
Watkins, W. A., & Schevill, W. E. (1977) · The Journal of the Acoustical Society of America · doi:10.1121/1.381678 · Cited by 212 · see citing works
Song-type matching between neighbouring song sparrows
Beecher, M. D., Campbell, S. E., Burt, J. M., Hill, C. E., & Nordby, J. C. (2000) · Animal Behaviour · doi:10.1006/anbe.1999.1276 · Cited by 210 · see citing works
MAVisto: a tool for the exploration of network motifs
Schreiber, F., & Schwöbbermeyer, H. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti556 · Cited by 210 · see citing works
The Monotony-Threshold in Singing Birds
Hartshorne, C. H. (1956) · The Auk · doi:10.2307/4081470 · Cited by 207 · see citing works
Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants
Lipkind, D., Marcus, G., Bemis, D. K., Sasahara, K., Jacoby, N., Takahasi, M., Suzuki, K., Fehér, O., Ravbar, P., Okanoya, K., et al. (2013) · Nature · doi:10.1038/nature12173 · Cited by 203 · see citing works
Self-citationInfrasonic calls of the Asian elephant (Elephas maximus)
Payne, K. B., Langbauer, W. R., & Thomas, E. M. (1986) · Behavioral Ecology and Sociobiology · doi:10.1007/bf00300007 · Cited by 199 · see citing works
Pitfalls in the categorization of behaviour: a comparison of dolphin whistle classification methods
Janik, V. M. (1999) · Animal Behaviour · doi:10.1006/anbe.1998.0923 · Cited by 198 · see citing works
The Evolution of Animal Communication: Reliability and Deception in Signaling Systems
Wright, T. F. (2006) · Ornithological Applications · doi:10.1650/0010-5422(2006)108[989:br]2.0.co;2 · Cited by 195 · see citing works
Kitchen, D. M. (2004) · Animal Behaviour · doi:10.1016/j.anbehav.2003.03.007 · Cited by 194 · see citing works
Penguins use the two–voice system to recognize each other
Aubin, T., Jouventin, P., & Hildebrand, C. (2000) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2000.1112 · Cited by 193 · see citing works
A tool for real-time acoustic species identification of delphinid whistles
Oswald, J. N., Rankin, S., Barlow, J. P., & Lammers, M. O. (2007) · The Journal of the Acoustical Society of America · doi:10.1121/1.2743157 · Cited by 190 · see citing works
Robisson, P., Aubin, T., & Brémond, J.-C. (1993) · Ethology · doi:10.1111/j.1439-0310.1993.tb00445.x · Cited by 188 · see citing works
Innate differences in singing behaviour of sparrows reared in isolation from adult conspecific song
Marler, P., & Sherman, V. (1985) · Animal Behaviour · doi:10.1016/s0003-3472(85)80120-2 · Cited by 183 · see citing works
Redefining animal signaling: influence versus information in communication
Owren, M. J., Drew Rendall, A., & Ryan, M. J. (2010) · Biology & Philosophy · doi:10.1007/s10539-010-9224-4 · Cited by 183 · see citing works
Dunlop, R. A., Noad, M. J., Cato, D. H., & Stokes, M. D. (2007) · The Journal of the Acoustical Society of America · doi:10.1121/1.2783115 · Cited by 181 · see citing works
Facts about signature whistles of bottlenose dolphins, Tursiops truncatus
Sayigh, L. S., Esch, H. C., Wells, R. S., & Janik, V. M. (2007) · Animal Behaviour · doi:10.1016/j.anbehav.2007.02.018 · Cited by 178 · see citing works
Self-citationMcCowan, B., Hanser, S. F., & Doyle, L. R. (1999) · Animal Behaviour · doi:10.1006/anbe.1998.1000 · Cited by 173 · see citing works
Self-citationAn Analysis of the Organization of Vocal Communication in the Titi Monkey Callicebus moloch
Robinson, J. G. (2010) · Zeitschrift für Tierpsychologie · doi:10.1111/j.1439-0310.1979.tb00300.x · Cited by 169 · see citing works
The alarm-calling system of adult male putty-nosed monkeys, Cercopithecus nictitans martini
Arnold, K., & Zuberbühler, K. (2006) · Animal Behaviour · doi:10.1016/j.anbehav.2005.11.017 · Cited by 168 · see citing works
Reliability and the adaptive utility of discrimination among alarm callers
Blumstein, D. T., Verneyre, L., & Daniel, J. C. (2004) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2004.2808 · Cited by 168 · see citing works
Self-citationIndividual, age and sex-specific information is contained in yellow-bellied marmot alarm calls
Blumstein, D. T., & Munos, O. (2004) · Animal Behaviour · doi:10.1016/j.anbehav.2004.10.001 · Cited by 167 · see citing works
Self-citationAirflow and pressure during canary song: direct evidence for mini-breaths
Hartley, R. S., & Suthers, R. A. (1989) · Journal of Comparative Physiology A · doi:10.1007/bf00613795 · Cited by 165 · see citing works
Collias, N. E. (1987) · Ornithological Applications · doi:10.2307/1368641 · Cited by 163 · see citing works
Analysing sequences of behavioural events
Chatfield, C., & Lemon, R. E. (1970) · Journal of Theoretical Biology · doi:10.1016/0022-5193(70)90107-4 · Cited by 162 · see citing works
Automated categorization of bioacoustic signals: Avoiding perceptual pitfalls
Deecke, V. B., & Janik, V. M. (2006) · The Journal of the Acoustical Society of America · doi:10.1121/1.2139067 · Cited by 162 · see citing works
Perspectives – Minimizing Observer Bias in Behavioral Studies: A Review and Recommendations
Burghardt, G. M., Bartmess-LeVasseur, J., Browning, S. A., Morrison, K. E., Stec, C. L., Zachau, C. E., & Freeberg, T. M. (2012) · Ethology · doi:10.1111/j.1439-0310.2012.02040.x · Cited by 158 · see citing works
Self-citationTyack, P. L. (1983) · Behavioral Ecology and Sociobiology · doi:10.1007/bf00295075 · Cited by 156 · see citing works
Overlapping and matching in the song contests of black-capped chickadees
Mennill, D. J., & Ratcliffe, L. M. (2004) · Animal Behaviour · doi:10.1016/j.anbehav.2003.04.010 · Cited by 154 · see citing works
Song type matching as threat: a test using interactive playback
Burt, J. M., Campbell, S. E., & Beecher, M. D. (2001) · Animal Behaviour · doi:10.1006/anbe.2001.1847 · Cited by 154 · see citing works
Humpback whale songs: Do they organize males during the breeding season?
Nicklin, C. P., Darling, J. D., & Jones, M. E. (2006) · Behaviour · doi:10.1163/156853906778607381 · Cited by 153 · see citing works
Categorical Perception of a Natural Stimulus Continuum: Birdsong
Nelson, D. A., & Marler, P. (1989) · Science · doi:10.1126/science.2727689 · Cited by 153 · see citing works
Evolving communicative complexity: insights from rodents and beyond
Pollard, K. A., & Blumstein, D. T. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0221 · Cited by 152 · see citing works
Self-citationFood-associated calls in chimpanzees: responses to food types or food preferences?
Slocombe, K. E., & Zuberbühler, K. (2006) · Animal Behaviour · doi:10.1016/j.anbehav.2006.01.030 · Cited by 151 · see citing works
Songs of male humpback whales, Megaptera novaeangliae, are involved in intersexual interactions
Smith, J. N., Goldizen, A. W., Dunlop, R. A., & Noad, M. J. (2008) · Animal Behaviour · doi:10.1016/j.anbehav.2008.02.013 · Cited by 150 · see citing works
Ribeiro, S. T. G., Cecchi, G., Magnasco, M. O., & Mello, C. V. (1998) · Neuron · doi:10.1016/s0896-6273(00)80545-0 · Cited by 148 · see citing works
Bohn, K. M., Schmidt-French, B. A., Ma, S. T., & Pollak, G. D. (2008) · The Journal of the Acoustical Society of America · doi:10.1121/1.2953314 · Cited by 147 · see citing works
Self-citationEvans, C. S. (1997) · Perspectives in ethology · doi:10.1007/978-1-4899-1745-4_5 · Cited by 146 · see citing works
Lammers, M. O., & Au, W. W. L. (2003) · Marine Mammal Science · doi:10.1111/j.1748-7692.2003.tb01107.x · Cited by 144 · see citing works
Cryptic speciation in a Holarctic passerine revealed by genetic and bioacoustic analyses
Toews, D. P. L., & Irwin, D. E. (2008) · Molecular Ecology · doi:10.1111/j.1365-294x.2008.03769.x · Cited by 141 · see citing works
Social Group Size Predicts the Evolution of Individuality
Pollard, K. A., & Blumstein, D. T. (2011) · Current Biology · doi:10.1016/j.cub.2011.01.051 · Cited by 139 · see citing works
Self-citationLambrechts, M. M., & Dhondt, A. A. (1988) · Animal Behaviour · doi:10.1016/s0003-3472(88)80002-2 · Cited by 138 · see citing works
Nowicki, S., & Marler, P. (1988) · Music Perception An Interdisciplinary Journal · doi:10.2307/40285408 · Cited by 137 · see citing works
Sustare, B. D., & Hartshorne, C. H. (1974) · Bird-Banding · doi:10.2307/4512008 · Cited by 136 · see citing works
Janik, V. M., King, S. L., Sayigh, L. S., & Wells, R. S. (2012) · Marine Mammal Science · doi:10.1111/j.1748-7692.2011.00549.x · Cited by 135 · see citing works
Self-citationEsser, K., Condon, C. J., Suga, N., & Kanwal, J. S. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.25.14019 · Cited by 134 · see citing works
Bioacoustic Field Research: A Primer to Acoustic Analyses and Playback Experiments With Primates
Fischer, J., Noser, R., & Hammerschmidt, K. (2013) · American Journal of Primatology · doi:10.1002/ajp.22153 · Cited by 133 · see citing works
Plasticity in female mate choice associated with changing reproductive states
Lynch, K. S., Rand, A. S., Ryan, M. J., & Wilczynski, W. (2005) · Animal Behaviour · doi:10.1016/j.anbehav.2004.05.016 · Cited by 132 · see citing works
Flagged first, then by citations
1 of the 424 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- Jurafsky D Martin JH 2000 Speech & language processing Pearson Education India
- Marler P 1977 The structure of animal communication sounds Recognition of Complex Acoustic Signals Bullock TH 17 35 Springer Verlag Berlin
- Martin WP 1972 Evolution of vocalization in the genus Bufo Evolution in the GenusBufo Blair WF 37 70 University of Texas Press Austin, TX
- Newman M 2009 Networks: An Introduction Oxford University Press Oxford
- Stoddard P 1996 Vocal recognition of neighbors by territorial passerines Ecology and evolution of acoustic communication in birds Kroodsma DE Miller EL 356 374 Cornell University Press Ithaca, New York
Cited by
Sorted by citations
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
Gibb, R., Browning, E., Glover‐Kapfer, P., & Jones, K. E. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13101 · Cited by 753 · see citing works
Machine learning in acoustics: Theory and applications
Bianco, M. J., Gerstoft, P., Traer, J., Ozanich, E., Roch, M. A., Gannot, S., & Deledalle, C.-A. (2019) · The Journal of the Acoustical Society of America · doi:10.1121/1.5133944 · Cited by 609 · see citing works
Self-citationApplications of machine learning in animal behaviour studies
Valletta, J. J., Torney, C., Kings, M., Thornton, A., & Madden, J. (2017) · Animal Behaviour · doi:10.1016/j.anbehav.2016.12.005 · Cited by 505 · see citing works
“Classification of calls from different species and subspecies is robust (Fagerlund, 2007; Kershenbaum et al., 2016) and permits assessment of community structure (e.g. frogs: Taylor, Watson, Grigg,&McCallum,1996; birds: Brandes, 2008).”
Computational bioacoustics with deep learning: a review and roadmap
Stowell, D. (2022) · PeerJ · doi:10.7717/peerj.13152 · Cited by 471 · see citing works
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
Sainburg, T., Thielk, M., & Gentner, T. Q. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008228 · Cited by 324 · see citing works
Bat detective—Deep learning tools for bat acoustic signal detection
Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., et al. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005995 · Cited by 216 · see citing works
Biases of acoustic indices measuring biodiversity in urban areas
Fairbrass, A. J., Rennert, P., Williams, C., Titheridge, H., & Jones, K. E. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.07.064 · Cited by 198 · see citing works
Riebel, K., Odom, K. J., Langmore, N. E., & Hall, M. L. (2019) · Biology Letters · doi:10.1098/rsbl.2019.0059 · Cited by 151 · see citing works
Clarifying and expanding the social complexity hypothesis for communicative complexity
Peckre, L. R., Kappeler, P. M., & Fichtel, C. (2019) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-018-2605-4 · Cited by 149 · see citing works
Measuring the evolution of facial ‘expression’ using multi-species FACS
Waller, B. M., Julle-Danière, É., & Micheletta, J. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.031 · Cited by 128 · see citing works
A review of automatic recognition technology for bird vocalizations in the deep learning era
Xie, J., Zhong, Y., Zhang, J., Liu, S., Ding, C., & Triantafyllopoulos, A. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101927 · Cited by 112 · see citing works
Goffinet, J., Brudner, S. N., MOONEY, R. D., & Pearson, J. (2021) · eLife · doi:10.7554/elife.67855 · Cited by 111 · see citing works
Schlenker, P., Chemla, E., Schel, A. M., Fuller, J. L., Gautier, J., Kuhn, J. D., Veselinović, D., Arnold, K., Cäsar, C., Keenan, S., et al. (2016) · Theoretical Linguistics · doi:10.1515/tl-2016-0001 · Cited by 110 · see citing works
Self-citationGelada vocal sequences follow Menzerath’s linguistic law
Gustison, M. L., Semple, S., Ferrer‐i‐Cancho, R., & Bergman, T. J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522072113 · Cited by 99 · see citing works
Self-citationVocal Complexity in Meerkats and Other Mongoose Species
Manser, M. B., Jansen, D. A. W. A. M., Graw, B., Hollén, L., Bousquet, C. A. H., Furrer, R. D., & le Roux, A. (2014) · Advances in the study of behavior · doi:10.1016/b978-0-12-800286-5.00006-7 · Cited by 97 · see citing works
Self-citationKello, C. T., Bella, S. D., Médé, B., & Balasubramaniam, R. (2017) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0231 · Cited by 92 · see citing works
Chimpanzees produce diverse vocal sequences with ordered and recombinatorial properties
Girard‐Buttoz, C., Zaccarella, E., Bortolato, T., Friederici, A. D., Wittig, R. M., & Crockford, C. (2022) · Communications Biology · doi:10.1038/s42003-022-03350-8 · Cited by 100 · see citing works
Cultural revolutions reduce complexity in the songs of humpback whales
Allen, J., Garland, E. C., Dunlop, R. A., & Noad, M. J. (2018) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2018.2088 · Cited by 89 · see citing works
Self-citationSequential information in a great ape utterance
Fedurek, P., Zuberbühler, K., & Dahl, C. D. (2016) · Scientific Reports · doi:10.1038/srep38226 · Cited by 85 · see citing works
Comparative bioacoustics: a roadmap for quantifying and comparing animal sounds across diverse taxa
Odom, K. J., Araya‐Salas, M., Morano, J. L., Ligon, R. A., Leighton, G. M., Taff, C. C., Dalziell, A. H., Billings, A. C., Germain, R. R., Pardo, M., et al. (2021) · Biological Reviews · doi:10.1111/brv.12695 · Cited by 81 · see citing works
Self-citationHuman Non-linguistic Vocal Repertoire: Call Types and Their Meaning
Anikin, A., Bååth, R. A., & Persson, T. (2017) · Journal of Nonverbal Behavior · doi:10.1007/s10919-017-0267-y · Cited by 74 · see citing works
Automated annotation of birdsong with a neural network that segments spectrograms
Cohen, Y., Nicholson, D. A., Sanchioni, A., Mallaber, E. K., Skidanova, V., & Gardner, T. J. (2022) · eLife · doi:10.7554/elife.63853 · Cited by 80 · see citing works
Vocal Turn-Taking in Meerkat Group Calling Sessions
Demartsev, V., Strandburg‐Peshkin, A., Ruffner, M., & Manser, M. B. (2018) · Current Biology · doi:10.1016/j.cub.2018.09.065 · Cited by 73 · see citing works
Self-citationNew dimensions in animal communication: the case for complexity
Patricelli, G. L., & Hebets, E. A. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.09.011 · Cited by 70 · see citing works
López‐Baucells, A., Torrent, L., Rocha, R., Bobrowiec, P. E. D., Palmeirim, J. M., & Meyer, C. F. J. (2018) · Ecological Informatics · doi:10.1016/j.ecoinf.2018.11.004 · Cited by 70 · see citing works
Extreme diversity in the songs of Spitsbergen's bowhead whales
Stafford, K. M., Lydersen, C., Wiig, Ø., & Kovacs, K. M. (2018) · Biology Letters · doi:10.1098/rsbl.2018.0056 · Cited by 66 · see citing works
Ravignani, A., & Norton, P. (2017) · Journal of Language Evolution · doi:10.1093/jole/lzx002 · Cited by 65 · see citing works
Rhythm in speech and animal vocalizations: a cross‐species perspective
Ravignani, A., Bella, S. D., Falk, S., Kello, C. T., Noriega, F., & Kotz, S. A. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14166 · Cited by 63 · see citing works
Berthet, M., Coye, C., Dezecache, G., & Kuhn, J. D. (2022) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12897 · Cited by 62 · see citing works
Kershenbaum, A., Akçay, Ç., Saheer, L. B., Barnhill, A., Best, P., Cauzinille, J., Clink, D. J., Dassow, A., Dufourq, E., Growcott, J., et al. (2024) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.13155 · Cited by 66 · see citing works
Self-citationBioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges
N., R. R. K. V. S., Montgomery, J., Garg, S., & Charleston, M. (2020) · IEEE Access · doi:10.1109/access.2020.2978547 · Cited by 57 · see citing works
Sequence Sets in Wireless Communication Systems: A Survey
Velazquez-Gutierrez, J. M., & Vargas‐Rosales, C. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2639739 · Cited by 56 · see citing works
Ulloa, J. S., Aubin, T., Llusia, D., Bouveyron, C., & Sueur, J. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.03.026 · Cited by 54 · see citing works
Do penguins’ vocal sequences conform to linguistic laws?
Favaro, L., Gamba, M., Cresta, E., Fumagalli, E., Bandoli, F., Pilenga, C., Isaja, V., Mathevon, N., & Reby, D. (2020) · Biology Letters · doi:10.1098/rsbl.2019.0589 · Cited by 51 · see citing works
Badihi, G., Graham, K. E., Fallon, B., Safryghin, A., Soldati, A., Zuberbühler, K., & Hobaiter, C. (2023) · Scientific Reports · doi:10.1038/s41598-022-25814-x · Cited by 49 · see citing works
Mechanisms and constraints underlying acoustic variation in rodents
Fernández-Vargas, M., Riede, T., & Pasch, B. S. (2021) · Animal Behaviour · doi:10.1016/j.anbehav.2021.07.011 · Cited by 49 · see citing works
Fedurek, P., Zuberbühler, K., & Semple, S. (2017) · Frontiers in Zoology · doi:10.1186/s12983-017-0235-8 · Cited by 47 · see citing works
Titi monkeys combine alarm calls to create probabilistic meaning
Berthet, M., Mesbahi, G., Pajot, A., Cäsar, C., Neumann, C., & Zuberbühler, K. (2019) · Science Advances · doi:10.1126/sciadv.aav3991 · Cited by 47 · see citing works
Self-citationLeroy, E. C., Royer, J., Alling, A., Maslen, B., & Rogers, T. L. (2021) · Scientific Reports · doi:10.1038/s41598-021-88062-5 · Cited by 46 · see citing works
Why Is Phonology Different? No Recursion
Idsardi, W. J. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316591529.012 · Cited by 46 · see citing works
Unsupervised classification to improve the quality of a bird song recording dataset
Michaud, F., Sueur, J., Cesne, M. L., & Haupert, S. (2022) · Ecological Informatics · doi:10.1016/j.ecoinf.2022.101952 · Cited by 46 · see citing works
Call combinations in great apes and the evolution of syntax
Leroux, M., & Townsend, S. W. (2020) · Animal Behavior and Cognition · doi:10.26451/abc.07.02.07.2020 · Cited by 45 · see citing works
Sainburg, T., & Gentner, T. Q. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.811737 · Cited by 43 · see citing works
Composition and sequential organization of song repertoires in Cassin’s Vireo (Vireo cassinii)
Hedley, R. W. (2015) · Journal für Ornithologie · doi:10.1007/s10336-015-1238-x · Cited by 44 · see citing works
Combinatorial capacities in primates
Zuberbühler, K. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.03.015 · Cited by 42 · see citing works
Listening to animal behavior to understand changing ecosystems
Oestreich, W. K., Oliver, R. Y., Chapman, M., Go, M. C., & McKenna, M. F. (2024) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2024.06.007 · Cited by 43 · see citing works
Computational Bioacoustic Scene Analysis
Stowell, D. (2017) · Springer eBooks · doi:10.1007/978-3-319-63450-0_11 · Cited by 41 · see citing works
Root‐Gutteridge, H., Cusano, D. A., Shiu, Y., Nowacek, D. P., Parijs, S. M. V., & Parks, S. E. (2018) · Animal Behaviour · doi:10.1016/j.anbehav.2017.12.016 · Cited by 40 · see citing works
Self-citationNetFACS: Using network science to understand facial communication systems
Mielke, A., Waller, B. M., Pérez, C., Rincon, A. V., Duboscq, J., & Micheletta, J. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01692-5 · Cited by 41 · see citing works
The potential for acoustic individual identification in mammals
Linhart, P., Mahamoud-Issa, M., Stowell, D., & Blumstein, D. T. (2022) · Mammalian Biology · doi:10.1007/s42991-021-00222-2 · Cited by 39 · see citing works
Self-citationKershenbaum, A., Root-Gutteridge, H., Habib, B., Koler-Matznick, J., Mitchell, B., Palacios, V., & Waller, S. (2016) · Behavioural Processes · doi:10.1016/j.beproc.2016.01.006 · Cited by 38 · see citing works
Self-citationUltrasonic courtship vocalizations of male house mice contain distinct individual signatures
Marconi, M. A., Nicolakis, D., Abbasi, R., Penn, D. J., & Zala, S. M. (2020) · Animal Behaviour · doi:10.1016/j.anbehav.2020.09.006 · Cited by 43 · see citing works
Green, A. C., Lidfors, L., Lomax, S., Favaro, L., & Clark, C. (2020) · Journal of Dairy Science · doi:10.3168/jds.2020-18891 · Cited by 39 · see citing works
Call concatenation in wild meerkats
Collier, K., Townsend, S. W., & Manser, M. B. (2017) · Animal Behaviour · doi:10.1016/j.anbehav.2016.12.014 · Cited by 38 · see citing works
Self-citationFearey, J., Elwen, S. H., James, B. S., & Gridley, T. (2019) · Animal Cognition · doi:10.1007/s10071-019-01274-1 · Cited by 37 · see citing works
Sexually dimorphic phrase organization in the song of the indris (Indri indri)
Zanoli, A., Gregorio, C. D., Valente, D., Torti, V., Bonadonna, G., Randrianarison, R. M., Giacoma, C., & Gamba, M. (2020) · American Journal of Primatology · doi:10.1002/ajp.23132 · Cited by 37 · see citing works
Social pressure drives “conversational rules” in great apes
Pougnault, L., Levréro, F., Leroux, M., Paulet, J., Bombani, P., Dentressangle, F., Déruti, L., Mulot, B., & Lemasson, A. (2021) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12821 · Cited by 37 · see citing works
Voice modulatory cues to structure across languages and species
Matzinger, T., & Fitch, W. (2021) · Philosophical Transactions of the Royal Society of London. Biological Sciences · doi:10.1098/rstb.2020.0393 · Cited by 13 · see citing works
Deep audio embeddings for vocalisation clustering
Best, P., Marxer, R., Paris, S., & Glotin, H. (2023) · PLoS ONE · doi:10.1371/journal.pone.0283396 · Cited by 37 · see citing works
Quantifying similarity in animal vocal sequences: which metric performs best?
Kershenbaum, A., & Garland, E. C. (2015) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12433 · Cited by 36 · see citing works
Self-citationDetailed temporal structure of communication networks in groups of songbirds
Stowell, D., Gill, L., & Clayton, D. F. (2016) · Journal of The Royal Society Interface · doi:10.1098/rsif.2016.0296 · Cited by 36 · see citing works
Fukuzawa, Y., Webb, W. H., Pawley, M. D. M., Roper, M. M., Marsland, S., Brunton, D. H., & Gilman, A. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13336 · Cited by 36 · see citing works
Neethirajan, S. R., Scott, S. D., Mancini, C., Boivin, X., & Strand, E. B. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1490851 · Cited by 35 · see citing works
Thomas, M., Jensen, F. H., Averly, B., Demartsev, V., Manser, M. B., Sainburg, T., Roch, M. A., & Strandburg‐Peshkin, A. (2022) · Journal of Animal Ecology · doi:10.1111/1365-2656.13754 · Cited by 35 · see citing works
Self-citationMonitoring population‐level responses of marine mammals to human activities
Fleishman, E., da Costa, D. P., Harwood, J., Kraus, S. D., Moretti, D., New, L., Schick, R. S., Schwarz, L. K., Simmons, S. E., Thomas, L., et al. (2016) · Marine Mammal Science · doi:10.1111/mms.12310 · Cited by 33 · see citing works
Archer, F. I., Rankin, S., Stafford, K. M., Castellote, M., & Delarue, J. (2019) · Marine Mammal Science · doi:10.1111/mms.12640 · Cited by 33 · see citing works
Detection and Classification Methods for Animal Sounds
Oswald, J. N., Erbe, C., Gannon, W. L., Madhusudhana, S., & Thomas, J. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-97540-1_8 · Cited by 32 · see citing works
Sequential and network analyses to describe multiple signal use in captive mangabeys
Aychet, J., Blois‐Heulin, C., & Lemasson, A. (2021) · Animal Behaviour · doi:10.1016/j.anbehav.2021.09.005 · Cited by 32 · see citing works
Linguistic laws of brevity: conformity in Indri indri
Valente, D., Gregorio, C. D., Favaro, L., Friard, O., Miaretsoa, L., Raimondi, T., Ratsimbazafy, J., Torti, V., Zanoli, A., Giacoma, C., et al. (2021) · Animal Cognition · doi:10.1007/s10071-021-01495-3 · Cited by 31 · see citing works
Thoughts About Disordered Thinking: Measuring and Quantifying the Laws of Order and Disorder
Elvevåg, B., Foltz, P. W., Rosenstein, M., Ferrer‐i‐Cancho, R., Deyne, S. D., Mizraji, E., & Cohen, A. S. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx040 · Cited by 31 · see citing works
Self-citationBat Detective - Deep Learning Tools for Bat Acoustic Signal DetectionPreprint
Aodha, O. M., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/156869 · Cited by 31 · see citing works
Găvojdian, D., Mincu, M., Lazebnik, T., Oren, A., Nicolae, I., & Zamansky, A. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1357109 · Cited by 30 · see citing works
Perspectives in ecoacoustics: A contribution to defining a discipline
Farina, A. (2018) · Journal of Ecoacoustics · doi:10.22261/jea.trzd5i · Cited by 29 · see citing works
Parra-Hernández, R. M., Quintero, J. I. P., Acevedo-Charry, O. A., & Posada-Quintero, H. F. (2020) · Animals · doi:10.3390/ani10081406 · Cited by 30 · see citing works
Titi semantics: Context and meaning in Titi monkey call sequences
Schlenker, P., Chemla, E., Cäsar, C., Ryder, R., & Zuberbühler, K. (2016) · Natural Language & Linguistic Theory · doi:10.1007/s11049-016-9337-9 · Cited by 30 · see citing works
Self-citationBird-DB: A database for annotated bird song sequences
Arriaga, J. G., Cody, M. L., Vallejo, E. E., & TAYLOR, C. E. (2015) · Ecological Informatics · doi:10.1016/j.ecoinf.2015.01.007 · Cited by 29 · see citing works
Self-citationClink, D. J., Ahmad, A. H., & Klinck, H. (2020) · Royal Society Open Science · doi:10.1098/rsos.200151 · Cited by 29 · see citing works
On understanding the nature and evolution of social cognition: a need for the study of communication
Freeberg, T. M., Gentry, K. E., Sieving, K. E., & Lucas, J. R. (2019) · Animal Behaviour · doi:10.1016/j.anbehav.2019.04.014 · Cited by 28 · see citing works
Self-citationCody, M. L., Stabler, E. P., C., H. M. S., & TAYLOR, C. E. (2015) · Bioacoustics · doi:10.1080/09524622.2015.1089418 · Cited by 28 · see citing works
Self-citationIncreased signal complexity is associated with increased mating success
Choi, N., Adams, M., Fowler‐Finn, K. D., Knowlton, E., Rosenthal, M. F., Rundus, A. S., Santer, R. D., Wilgers, D. J., & Hebets, E. A. (2022) · Biology Letters · doi:10.1098/rsbl.2022.0052 · Cited by 27 · see citing works
Automatic classification of infant vocalization sequences with convolutional neural networks
Anders, F., Hlawitschka, M., & Fuchs, M. (2020) · Speech Communication · doi:10.1016/j.specom.2020.03.003 · Cited by 25 · see citing works
Compositionality in Primate Gestural Communication and Multicomponent Signal Displays
Amici, F., Oña, L. S., & Liebal, K. (2022) · International Journal of Primatology · doi:10.1007/s10764-022-00316-9 · Cited by 25 · see citing works
Using self-organizing maps to classify humpback whale song units and quantify their similarity
Allen, J., Murray, A., Noad, M. J., Dunlop, R. A., & Garland, E. C. (2017) · The Journal of the Acoustical Society of America · doi:10.1121/1.4982040 · Cited by 24 · see citing works
Self-citationDiscrimination of natural acoustic variation in vocal signals
Fishbein, A. R., Prior, N. H., Brown, J. A., Ball, G. F., & Dooling, R. J. (2021) · Scientific Reports · doi:10.1038/s41598-020-79641-z · Cited by 24 · see citing works
A machine learning framework to classify Southeast Asian echolocating bats
Yoh, N., Kingston, T., McArthur, E. D., Aylen, O. E., Huang, J. C., Jinggong, E. R., Khan, F. A. A., Lee, B. P. Y. ‐., Mitchell, S. L., Bicknell, J. E., et al. (2022) · Ecological Indicators · doi:10.1016/j.ecolind.2022.108696 · Cited by 24 · see citing works
Опаев, А. С. (2016) · Journal für Ornithologie · doi:10.1007/s10336-016-1342-6 · Cited by 24 · see citing works
Demartsev, V., Gordon, N., Barocas, A., Bar‐Ziv, E., Ilany, T., Goll, Y., Ilany, A., & Geffen, E. (2019) · Evolution Letters · doi:10.1002/evl3.147 · Cited by 24 · see citing works
Self-citationShannon entropy as a robust estimator of Zipf's Law in animal vocal communication repertoires
Kershenbaum, A., Demartsev, V., Gammon, D. E., Geffen, E., Gustison, M. L., Ilany, A., & Lameira, A. R. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13536 · Cited by 23 · see citing works
Self-citationUniversal principles underlying segmental structures in parrot song and human speech
Mann, D. C., Fitch, W. T., Tu, H.-W., & Hoeschele, M. (2021) · Scientific Reports · doi:10.1038/s41598-020-80340-y · Cited by 23 · see citing works
Inconsistent sexual signaling degrades optimal mating decisions in animals
Tanner, J. C., & Bee, M. A. (2020) · Science Advances · doi:10.1126/sciadv.aax3957 · Cited by 23 · see citing works
Self-citationCompositionality in Different Modalities: A View from Usage-Based Linguistics
Pleyer, M., Lepic, R., & Hartmann, S. (2022) · International Journal of Primatology · doi:10.1007/s10764-022-00330-x · Cited by 22 · see citing works
Sequential organization of birdsong: relationships with individual quality and fitness
Zsebők, S., Herczeg, G., Laczi, M., Nagy, G., Vaskúti, É., Hargitai, R., Hegyi, G., Herényi, M., Markó, G., Rosivall, B., et al. (2020) · Behavioral Ecology · doi:10.1093/beheco/araa104 · Cited by 22 · see citing works
Pace, D. S., Tumino, C., Silvestri, M., Giacomini, G., Pedrazzi, G., Pavan, G., Papale, E., Ceraulo, M., Buscaino, G., & Ardizzone, G. (2022) · Biology · doi:10.3390/biology11030367 · Cited by 21 · see citing works
Backhouse, F., Dalziell, A. H., Magrath, R. D., & Welbergen, J. A. (2022) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.2498 · Cited by 21 · see citing works
Automated identification and clustering of subunits within delphinid vocalizations
Frasier, K. E., Henderson, E. E., Bassett, H. R., & Roch, M. A. (2016) · Marine Mammal Science · doi:10.1111/mms.12303 · Cited by 21 · see citing works
Self-citationAssessing the similarity of song-type transitions among birds: evidence for interspecies variation
Hedley, R. W., Logue, D. M., Benedict, L., & Mennill, D. J. (2018) · Animal Behaviour · doi:10.1016/j.anbehav.2018.04.008 · Cited by 21 · see citing works
Behavioural context shapes vocal sequences in two anuran species with different repertoire sizes
Bhat, A. S., Sane, V. A., Seshadri, K., & Krishnan, A. (2022) · Animal Behaviour · doi:10.1016/j.anbehav.2021.12.004 · Cited by 19 · see citing works
Long Timescales, Individual Differences, and Scale Invariance in Animal Behavior
Bialek, W., & Shaevitz, J. W. (2024) · Physical Review Letters · doi:10.1103/physrevlett.132.048401 · Cited by 23 · see citing works
White-handed gibbons discriminate context-specific song compositions
Andrieu, J., Penny, S. G., Bouchet, H., Malaivijitnond, S., Reichard, U. H., & Zuberbühler, K. (2020) · PeerJ · doi:10.7717/peerj.9477 · Cited by 19 · see citing works
Singer, D., Kamp, J., Hondong, H., Schuldt, A., & Hagge, J. (2026) · Journal of Ornithology · doi:10.1007/s10336-025-02307-y · Cited by 20 · see citing works
- Authors
- Kershenbaum, A., Blumstein, D. T., Roch, M. A., Akçay, Ç., Backus, G., Bee, M. A., Bohn, K., Cao, Y., Carter, G., Cäsar, C., Coen, M., DeRuiter, S. L., Doyle, L., Edelman, S., Ferrer‐i‐Cancho, R., Freeberg, T. M., Garland, E. C., Gustison, M., Harley, H. E., Huetz, C., Hughes, M., Hyland Bruno, J., Ilany, A., Jin, D. Z., Johnson, M., Ju, C., Karnowski, J., Lohr, B., Manser, M. B., McCowan, B., Mercado, E., Narins, P. M., Piel, A., Rice, M., Salmi, R., Sasahara, K., Sayigh, L., Shiu, Y., Taylor, C., Vallejo, E. E., Waller, S., & Zamora‐Gutierrez, V.
- Affiliations
- National Institute for Mathematical and Biological Synthesis (US)
- University of California, Los Angeles (US)
- San Diego State University (US)
- Cornell University (US)
- North Carolina State University (US)
- University of Minnesota (US)
- Florida International University (US)
- The University of Texas at Dallas (US)
- University of Maryland, College Park (US)
- University of St Andrews (GB)
- University of Wisconsin–Madison (US)
- Search for Extraterrestrial Intelligence (US)
- Universitat Politècnica de Catalunya (ES)
- University of Tennessee System (US)
- National Oceanic and Atmospheric Administration (US)
- University of Michigan (US)
- New College of Florida (US)
- Université Paris-Sud (FR)
- College of Charleston (US)
- Department of Psychology Hunter College and the Graduate Center, The City University of New York 365 Fifth Avenue New York NY 10016 U.S.A.
- Pennsylvania State University (US)
- Marquette University (US)
- City University of New York (US)
- University of California San Diego (US)
- University of Maryland, Baltimore County (US)
- University of Zurich (CH)
- University of California, Davis (US)
- University at Buffalo, State University of New York (US)
- Division of Biological Anthropology University of Cambridge Pembroke Street Cambridge CB2 3QG U.K.
- California State University, San Marcos (US)
- University of Georgia (US)
- Nagoya University (JP)
- Woods Hole Oceanographic Institution (US)
- Tecnológico de Monterrey (MX)
- Montana State University (US)
- University of Cambridge (GB)
- Corresponding author
- Kershenbaum, Arik
- ORCID
- Kershenbaum, Arik
- Blumstein, Daniel T.
- Roch, Marie A.
- Akçay, Çağlar
- Backus, Gregory
- Bee, Mark A.
- Bohn, Kirsten
- Carter, Gerald
- Cäsar, Cristiane
- DeRuiter, Stacy L.
- Edelman, Shimon
- Ferrer‐i‐Cancho, Ramon
- Freeberg, Todd M.
- Garland, Ellen C.
- Gustison, Morgan
- Huetz, Chloé
- Hughes, Melissa
- Ilany, Amiyaal
- Jin, Dezhe Z.
- Johnson, Michael
- Manser, Marta B.
- McCowan, Brenda
- Mercado, Eduardo
- Narins, Peter M.
- Salmi, Roberta
- Sasahara, Kazutoshi
- Sayigh, Laela
- Shiu, Yu
- Taylor, Charles
- Vallejo, Edgar E.
- Waller, Sara
- Zamora‐Gutierrez, Veronica
- Venue
- Biological Reviews
- Publisher
- Wiley
- Published
- 2014-11-26
- Volume
- 91
- Issue
- 1
- Pages
- 13-52
- ISSN
- 0006-3231 (ISSN-L)
- 1464-7931
- 1469-185X
- PMC
- PMC4444413
- OpenAlex
- W1514601846
- Cited by
- 337
- References
- 424
- Citations by year
- 2026: 27 · 2025: 33 · 2024: 31 · 2023: 34 · 2022: 46 · 2021: 36 · 2020: 36 · 2019: 16 · 2018: 27 · 2017: 26 · 2016: 18 · 2015: 6 · 2014: 1
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological reviews/Biological reviews of the Cambridge Philosophical Society (publishedVersion)
- PubMed (publishedVersion)
- Liverpool John Moores University (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (acceptedVersion, other-oa)
- UPCommons institutional repository (Universitat Politècnica de Catalunya) (acceptedVersion, other-oa)
- Apollo (University of Cambridge) (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- e-Publications@Marquette (Marquette University) (submittedVersion)
- HAL (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, public-domain)
- St Andrews Research Repository (St Andrews Research Repository) (submittedVersion)
- Tokyo Tech Research Repository (Tokyo Institute of Technology) (submittedVersion)
- Funders
- NSF (DEB-1119660, IOS-0842759)
- NIH (R01DC009582)
- ONR (N0001411IP20086)
- NOPP (ONR/BOEM) (N00014-11-1-0697)
- U.S. Office of Naval Research
- Spanish Ministry of Science and Innovation (BASMATI (TIN2011-27479-C04-03))
- National Research Council Postdoctoral Fellowship
- CONACYT, Mexico (I010/214/2012)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Social Sciences › Cultural Studies › Language and cultural evolution
- Keywords
- animal vocal communication, acoustic unit, sequence structure, bird song, evolution of communication, sociality, interdisciplinary research framework
- MeSH terms
- Acoustics, Animals, Markov Chains, Models, Biological, Perception, Vocalization, Animal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review