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The cocktail party problem: What is it? How can it be solved? And why should animal behaviorists study it?
Open accessAbstract
Animals often use acoustic signals to communicate in groups or social aggregations in which multiple individuals signal within a receiver's hearing range. Consequently, receivers face challenges related to acoustic interference and auditory masking that are not unlike the human cocktail party problem, which refers to the problem of perceiving speech in noisy social settings. Understanding the sensory solutions to the cocktail party problem has been a goal of research on human hearing and speech communication for several decades. Despite a general interest in acoustic signaling in groups, animal behaviorists have devoted comparatively less attention toward understanding how animals solve problems equivalent to the human cocktail party problem. After illustrating how humans and nonhuman animals experience and overcome similar perceptual challenges in cocktail-party-like social environments, this article reviews previous psychophysical and physiological studies of humans and nonhuman animals to describe how the cocktail party problem can be solved. This review also outlines several basic and applied benefits that could result from studies of the cocktail party problem in the context of animal acoustic communication.
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“real ecosystems are messy “cocktail-party” environments (Bee and Micheyl 2008), full of overlapping calls, echoes, and background noise.”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Bee and Micheyl 2008
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Cites
Some Experiments on the Recognition of Speech, with One and with Two Ears
Cherry, E. C. (1953) · The Journal of the Acoustical Society of America · doi:10.1121/1.1907229 · Cited by 4,774
On aims and methods of ethology
Tinbergen, N. (1963) · Zeitschrift für Tierpsychologie · doi:10.1111/j.1439-0310.1963.tb01161.x · Cited by 4,551
Auditory Scene Analysis: The Perceptual Organization of Sound
Bregman, A. S., & McAdams, S. E. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.408434 · Cited by 3,092
Principles of animal communication
(2012) · Choice Reviews Online · doi:10.5860/choice.49-5059 · Cited by 2,544
Birds sing at a higher pitch in urban noise
Slabbekoorn, H., & Peet, M. (2003) · Nature · doi:10.1038/424267a · Cited by 1,027
Receiver psychology and the evolution of animal signals
Guilford, T., & Dawkins, M. S. (1991) · Animal Behaviour · doi:10.1016/s0003-3472(05)80600-1 · Cited by 1,022
Acoustic Communication in Noise
Brumm, H., & Slabbekoorn, H. (2005) · Advances in the study of behavior · doi:10.1016/s0065-3454(05)35004-2 · Cited by 993
Ecology and Evolution of Acoustic Communication in Birds.
Nelson, D. A., Kroodsma, D. E., & Miller, E. H. (1997) · Ecology · doi:10.2307/2266158 · Cited by 969
‘Primitive intelligence’ in the auditory cortex
Näätänen, R., Tervaniemi, M. H., Sussman, E. S., Paavilainen, P., & Winkler, I. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01790-2 · Cited by 856
Bronkhorst, A. W. (2000) · TNO Repository · Cited by 799
Research works printed but not linked: 7
- Beecher MD Hepper PG Successes and failures of parent-offspring recognition systems in animals. Kin Recognition 1991 94 124 Cambridge University Press Cambridge
- Darwin CJ Carlyon RP Moore BCJ Auditory grouping. Hearing 1995 387 424 Academic Press New York
- Kroodsma DE Miller EH Ecology and Evolution of Acoustic Communication in Birds 1996 Cornell University Press Ithaca, NY
- Naguib M McGregor PK Singing interactions in songbirds. Animal Communication Networks 2005 300 319 Cambridge University Press Cambridge
- Nelken I Jacobson G Ahdut L Ulanovsky N Neural correlates of comodulation masking release in auditory cortex of cats. European Journal of Neuroscience 2000 12 495 495
- Tsuzaki M Takeshima C Irino T Patterson RD Kollmeier B Klump GM Hohmann V Langemann U Mauermann M Uppenkamp S Verhey JL Auditory stream segregation based on speaker size, and identification of size-modulated vowels. Hearing - From Basic Research to Applications 2007 Springer Berlin in press
- Wang D Brown GJ Computational Auditory Scene Analysis: Principles, Algorithms, and Applications 2006 John Wiley & Sons, Inc. Hoboken, NJ
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Olzer, R., Deak, N., Tan, X., Heinen‐Kay, J. L., & Zuk, M. (2019) · Journal of Insect Behavior · doi:10.1007/s10905-019-09715-y · Cited by 7
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Gall, M. D., & Wilczynski, W. (2016) · Journal of Experimental Biology · doi:10.1242/jeb.135905 · Cited by 6
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The focus of attention at the virtual cocktail party—Electrophysiological evidence
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Brunnhofer, M., Hirtenlehner, S., & Römer, H. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.127514 · Cited by 5
Stimulus-based and task-based attention modulate auditory stream segregation context effects.
Yerkes, B. D., Weintraub, D. M., & Snyder, J. S. (2018) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000587 · Cited by 5
Christie, K. W., Schul, J., & Feng, A. S. (2019) · Journal of Comparative Physiology A · doi:10.1007/s00359-019-01325-5 · Cited by 5
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Moss, C. F., Chiu, C., & MOORE, P. W. B. (2014) · Springer handbook of auditory research · doi:10.1007/978-1-4614-9146-0_8 · Cited by 5
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Moss, C. F., & Carr, C. E. (2012) · Handbook of Psychology, Second Edition · doi:10.1002/9781118133880.hop203005 · Cited by 5
Mechanisms for Communicating in a Marmoset ‘Cocktail Party’Preprint
Jovanovic, V., & Miller, C. T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.08.416693 · Cited by 5
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Self-citationNeural correlates of concurrent sound perception: A review and guidelines for future research
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Larter, L. C., Cushing, C. W., & Ryan, M. J. (2025) · Journal of Experimental Biology · doi:10.1242/jeb.250982 · Cited by 4
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Augusto‐Alves, G., Höbel, G., & Toledo, L. F. (2024) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-024-03462-7 · Cited by 4
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Bent, A. M., & Hedwig, B. (2021) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.1889 · Cited by 4
Interactive rhythms in the wild, in the brain, and in silico.
Anichini, M., Kloots, M. D. H., & Ravignani, A. (2020) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/cep0000224 · Cited by 4
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Banks, K. M., Edwards, O. M., & Reichert, M. S. (2024) · Bioacoustics · doi:10.1080/09524622.2024.2396809 · Cited by 3
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Lanzilotti, C., Andéol, G., Micheyl, C., & Scannella, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277801 · Cited by 3
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Dai, B., McQueen, J. M., Terporten, R., Peter Hagoort, A., & Kösem, A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/364042 · Cited by 3
Hastings, M. C., & Thomas, J. A. (2025) · Springer eBooks · doi:10.1007/978-3-031-83460-8_5 · Cited by 2
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Bee, M. A., & Kalra, L. (2024) · Bioacoustics · doi:10.1080/09524622.2024.2438603 · Cited by 1
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Application of Independent Component Analysis for Infant Cries Separation
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Niu, W., Shen, D., Sun, R., Fan, Y., Yang, J., Zhang, B., & Fang, G. (2022) · Biology · doi:10.3390/biology11060879 · Cited by 1
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Mikel-Stites, M., Salcedo, M. K., Socha, J. J., Marek, P. E., & Staples, A. (2023) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/acbffa · Cited by 1
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Mathias, S. R., Knowles, E. E. M., Mollon, J., Rodrigue, A., Woolsey, M. K., Hernandez, A. M., Garret, A. S., Fox, P. T., Olvera, R. L., Peralta, J. M., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1071766 · Cited by 1
Qian, Y., Li, C., Zhang, W., & Lin, S. (2025) · npj Acoustics · doi:10.1038/s44384-025-00004-x · Cited by 1
Caldart, V. M., dos Santos, M. B., & Machado, G. (2025) · Behavioral Ecology · doi:10.1093/beheco/araf157 · Cited by 1
Breed, M. D., & Moore, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801532-2.00007-6 · Cited by 1
Eggermont, J. J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805398-0.00004-9 · Cited by 1
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Hartman, G. A. (2013) · doi:10.32469/10355/43143 · Cited by 1
Auditory information loss in real-world listening environmentsPreprint
Weisser, A. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.07509 · Cited by 1
Fu, D., Weber, C., Guochun, Y., Kerzel, M., Nan, W., Barros, P. V. A., Wu, H., Liu, X., & Wermter, S. (2019) · doi:10.31234/osf.io/s3u9j · Cited by 1
Great tits in noisy territories and avoiding overlapping respond stronger to territorial intrudersPreprint
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Disbergen, N. R. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20200401nd · Cited by 1
Lipshutz, D., & Chklovskii, D. B. (2020) · arXiv (Cornell University) · Cited by 1
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Gomes, D. G. E. (2021) · doi:10.18122/td.1779.boisestate · Cited by 1
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Melendez, A. V. (2012) · University of Minnesota Digital Conservancy (University of Minnesota)
Neilans, E. G., Holfoth, D. P., Radziwon, K. E., Portfors, C. V., & Dent, M. L. (2013) · The Journal of the Acoustical Society of America · doi:10.1121/1.4805696
Rodgers, C. T. (2013) · eScholarship (California Digital Library)
Neural mechanisms of auditory scene analysis in a non-mammalian animal model
Schrode, K. M. (2014) · University of Minnesota Digital Conservancy (University of Minnesota)
Evaluating speech-in-noise performance of bilateral cochlear implant recipients
Lim, S. (2013) · ProQuest Demo Repository
Cognitive cross-modal integration in a wolf spider, Schizocosa ocreata (Hentz) (Lycosidae)
Kozak, E. C. (2015) · OhioLink ETD Center (Ohio Library and Information Network)
Murphy, G., & Rossa-Feres, C. (2012)
Technology and Sensory, Perceptual, and Cognitive Processes
Kool, V. K., & Agrawal, R. (2016) · Springer eBooks · doi:10.1007/978-3-319-45333-0_3 · Cited by 1
Metadata
- Authors
- Bee, M. A., & Micheyl, C.
- Affiliations
- University of Minnesota (US)
- ORCID
- Bee, Mark A.
- Venue
- Journal of Comparative Psychology
- Published
- 2008
- Volume
- 122
- Issue
- 3
- Pages
- 235-251
- ISSN
- 0093-4127 (ISSN-L)
- 1939-2087
- 0735-7036
- PMC
- PMC2692487
- OpenAlex
- W2047527596
- Cited by
- 347
- References
- 208
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 18 · 2023: 24 · 2022: 23 · 2021: 17 · 2020: 24 · 2019: 26 · 2018: 21 · 2017: 18 · 2016: 19 · 2015: 11 · 2014: 22 · 2013: 32 · 2012: 18
- FWCI
- 11.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of comparative psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R03DC008396; R01DC07657)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Vocal Communication and Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Keywords
- cocktail party problem, auditory masking, acoustic interference, speech perception in noise, social signaling, auditory scene analysis, animal hearing
- MeSH terms
- Animals, Animal Communication, Behavior, Animal, Behaviorism, Cues, Humans, Perceptual Masking, Sound Spectrography, Space Perception, Time Factors
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 ›
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