The potential for acoustic individual identification in mammals
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The main bottleneck for individual identification is building and curating reference libraries at a scale that can support global monitoring, along with developing fully automated pipelines that can process such data streams without constant human supervision.
“The main bottleneck, at least for now, is building and curating reference libraries at a scale that can support global monitoring, along with developing fully automated pipelines that can process such data streams without constant human supervision”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Linhart et al. 2022
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A simple explanation for the evolution of complex song syntax in Bengalese finches
Katahira, K., Suzuki, K., Kagawa, H., & Okanoya, K. (2013) · Biology Letters · doi:10.1098/rsbl.2013.0842 · Cited by 29 · see citing works
Acoustic allometry and vocal learning in mammals
Garcia, M., & Ravignani, A. (2020) · Biology Letters · doi:10.1098/rsbl.2020.0081 · Cited by 29 · see citing works
Cody, 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
Distributed acoustic cues for caller identity in macaque vocalization
Fukushima, M., Doyle, A. M., Mullarkey, M. P., Mishkin, M., & Averbeck, B. B. (2015) · Royal Society Open Science · doi:10.1098/rsos.150432 · Cited by 28 · see citing works
Tracking cryptic animals using acoustic multilateration: A system for long-range wolf detection
Kershenbaum, A., Owens, J. L., & Waller, S. S. (2019) · The Journal of the Acoustical Society of America · doi:10.1121/1.5092973 · Cited by 28 · see citing works
Feng, J.-J., Cui, L., Ma, C., Fei, H., & Fan, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096317 · Cited by 27 · see citing works
Impoverished encoding of speaker identity in spontaneous laughter
Lavan, N., Short, B., Wilding, A., & McGettigan, C. (2017) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2017.11.002 · Cited by 27 · see citing works
Mother–Offspring Vocal Recognition and Social System in Pinnipeds
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Root‐Gutteridge, H., Bencsik, M., Chebli, M., Gentle, L., Terrell-Nield, C., Bourit, A., & Yarnell, R. W. (2013) · Bioacoustics · doi:10.1080/09524622.2013.817318 · Cited by 26 · see citing works
Automatic Recognition of Element Classes and Boundaries in the Birdsong with Variable Sequences
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Rat in a Cage: Trappability of Urban Norway Rats (Rattus norvegicus)
Byers, K. A., Lee, M. J., Bidulka, J. J., Patrick, D. M., & Himsworth, C. G. (2019) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2019.00068 · Cited by 26 · see citing works
The assessment of biases in the acoustic discrimination of individuals
Linhart, P., & Šálek, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177206 · Cited by 24 · see citing works
Self-citationKukalová, M., Gazárková, A. H., & Adamík, P. (2013) · Ethology · doi:10.1111/eth.12126 · Cited by 23 · see citing works
A deafening silence: a lack of data and reproducibility in published bioacoustics research?
Baker, E., & Vincent, S. (2019) · Biodiversity Data Journal · doi:10.3897/bdj.7.e36783 · Cited by 23 · see citing works
Sadhukhan, S., Root‐Gutteridge, H., & Habib, B. (2021) · Scientific Reports · doi:10.1038/s41598-021-86718-w · Cited by 21 · see citing works
Ontogenetic variation of heritability and maternal effects in yellow-bellied marmot alarm calls
Blumstein, D. T., Nguyen, K. T., & Martin, J. G. A. (2013) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.0176 · Cited by 18 · see citing works
Self-citationHedley, R. W. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150822 · Cited by 18 · see citing works
Inspiring song: The role of respiratory circuitry in the evolution of vertebrate vocal behavior
Barkan, C. L., & Zornik, E. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22752 · Cited by 17 · see citing works
Ontogeny of individual and litter identity signaling in grunts of piglets
Syrová, M., Policht, R., Linhart, P., & Špinka, M. (2017) · The Journal of the Acoustical Society of America · doi:10.1121/1.5010330 · Cited by 14 · see citing works
Self-citationThe traits of the great calls in the juvenile and adolescent gibbon males Nomascus gabriellae
Hradec, M., Linhart, P., Bartoš, L., & Bolechová, P. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173959 · Cited by 12 · see citing works
Self-citationA fast and accurate zebra finch syllable detector
Pearre, B. W., Perkins, L. N., Markowitz, J. E., & Gardner, T. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181992 · Cited by 11 · see citing works
The physiological control of mammalian vocalization
(1990) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(90)90065-r · Cited by 11 · see citing works
Bengalese Finch song repository
Nicholson, D., Queen, J. E., & Sober, S. J. (2017) · Figshare · doi:10.6084/m9.figshare.4805749 · Cited by 11 · see citing works
Bengalese Finch song repository
Nicholson, D., Queen, J. E., & Sober, S. J. (2017) · Figshare · doi:10.6084/m9.figshare.4805749.v5 · Cited by 9 · see citing works
An archive of longitudinal recordings of the vocalizations of adult Gombe chimpanzees
Plooij, F. X., van de Rijt, H., Fischer, M., Wilson, M. L., & Pusey, A. E. (2015) · Scientific Data · doi:10.1038/sdata.2015.27 · Cited by 6 · see citing works
An acoustically isolated European starling song library
Arneodo, E. M., Sainburg, T., Jeanne, J. M., et al. (2019) · Figshare · doi:10.5281/zenodo.3237218 · Cited by 5 · see citing works
An acoustically isolated European starling song library
Arneodo, E. M., Sainburg, T., Jeanne, J. M., & Gentner, T. Q. (2019) · Figshare · doi:10.5281/zenodo.3237217 · Cited by 5 · see citing works
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The potential for AI to revolutionize conservation: a horizon scan
Reynolds, S. A., Beery, S., Burgess, N. D., Burgman, M. A., Butchart, S. H. M., Cooke, S. J., Coomes, D. A., Danielsen, F., Minin, E. D., Durán, A. P., et al. (2024) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2024.11.013 · Cited by 125 · see citing works
Learning to detect an animal sound from five examples
Nolasco, I., Singh, S., Morfi, V., Lostanlen, V., Strandburg‐Peshkin, A., Vidaña-Vila, E., Gill, L., Pamuła, H., Whitehead, H., Kiskin, I., et al. (2023) · Ecological Informatics · doi:10.1016/j.ecoinf.2023.102258 · Cited by 67 · see citing works
Self-citationHarnessing artificial intelligence to fill global shortfalls in biodiversity knowledge
Pollock, L. J., Kitzes, J. A., Beery, S., Gaynor, K. M., Jarzyna, M. A., Aodha, O. M., Meyer, B. E., Rolnick, D., Taylor, G. W., Tuia, D., et al. (2025) · Nature Reviews Biodiversity · doi:10.1038/s44358-025-00022-3 · Cited by 74 · see citing works
Individual identification in acoustic recordings
Knight, E., Rhinehart, T., de Zwaan, D. R., Weldy, M. J., Cartwright, M., Hawley, S. H., Larkin, J. L., Lesmeister, D., Bayne, E., & Kitzes, J. (2024) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2024.05.007 · Cited by 54 · see citing works
Sayigh, L. S., Janik, V. M., Jensen, F. H., Scott, M. D., Tyack, P. L., & Wells, R. S. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.923046 · Cited by 40 · see citing works
Arnaud, V., Pellegrino, F., Keenan, S., St-Gelais, X., Mathevon, N., Levréro, F., & Coupé, C. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010325 · Cited by 22 · see citing works
The value of individual identification in studies of free-living hyenas and aardwolves
Spagnuolo, O. S. B., Lemerle, M. A., Holekamp, K. E., & Wiesel, I. (2022) · Mammalian Biology · doi:10.1007/s42991-022-00309-4 · Cited by 14 · see citing works
Same data, different results? Machine learning approaches in bioacoustics
Wierucka, K., Murphy, D., Watson, S. K., Falk, N., Fichtel, C., León, J., Leu, S. T., Kappeler, P. M., Briefer, E. F., Manser, M. B., et al. (2025) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70091 · Cited by 12 · see citing works
Yang, Y., Xu, C., Hou, W., McElligott, A. G., Liu, K., & Xue, Y. (2025) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2025.03.006 · Cited by 12 · see citing works
Schneider, S., von Fersen, L., & Dierkes, P. W. (2024) · Frontiers in Conservation Science · doi:10.3389/fcosc.2024.1405243 · Cited by 10 · see citing works
Knowing a fellow by their bellow: acoustic individuality in the bellows of the American alligator
Jensen, T. R., Anikin, A., Osvath, M., & Reber, S. A. (2023) · Animal Behaviour · doi:10.1016/j.anbehav.2023.11.009 · Cited by 9 · see citing works
In the songs of Hainan gibbons: Automated individual dynamic monitoring from acoustic recordings
Wang, Z., Ma, H., Zhong, X., Zhu, C., Wang, Y.-X., Wang, J., & Fan, P. (2024) · Biological Conservation · doi:10.1016/j.biocon.2024.110634 · Cited by 7 · see citing works
Generative AI-based data augmentation for improved bioacoustic classification in noisy environments
Gibbons, A., King, E., Donohue, I., & Parnell, A. (2024) · arXiv · doi:10.48550/arxiv.2412.01530 · Cited by 6 · see citing works
Generative Ai-Based Data Augmentation for Improved Bioacoustic Classification in Noisy EnvironmentsPreprint
Gibbons, A., King, E., Donohue, I., & Parnell, A. C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5393534 · Cited by 8 · see citing works
Acoustic recognition of individuals in closed and open bird populations
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Papale, E., Ceraulo, M., Gregorietti, M., Vita, C. D., & Buscaino, G. (2024) · Current Zoology · doi:10.1093/cz/zoae079 · Cited by 3 · see citing works
Goodenough, A. E., & Perks, S. J. (2025) · Journal for Nature Conservation · doi:10.1016/j.jnc.2025.127049 · Cited by 3 · see citing works
Park, S., Park, G., Oh, S., Lee, S.-H., & Choi, J. (2026) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2026.2618192 · Cited by 2 · see citing works
Dharmarajan, G. (2026) · Animal Behaviour · doi:10.1016/j.anbehav.2026.123547 · Cited by 2 · see citing works
A pilot study to encode calls from the northern yellow-bellied glider
Heise‐Pavlov, S., Prokop, C., & Goss, L. (2024) · Australian Mammalogy · doi:10.1071/am23026 · Cited by 2 · see citing works
Comparative analysis of acoustic traits of pup ultrasonic calls across nine vole species
Volodin, I. A., Dymskaya, M. M., Rutovskaya, M. V., Голенищев, Ф. Н., Vasilieva, N. A., & Volodina, E. V. (2025) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-025-03646-9 · Cited by 3 · see citing works
Robust encoding of acoustic identity in alpaca hums – a basis for individual recognition
Wierucka, K., & Leu, S. T. (2024) · Bioacoustics · doi:10.1080/09524622.2024.2414246 · Cited by 2 · see citing works
Vocal distinctiveness in young Eurasian Scops Owls ( Otus scops )Preprint
Grieco, F. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.17.558098 · Cited by 2 · see citing works
Acoustic Recognition of Individual Animals in the Presence of Unknown IndividualsPreprint
Huang, L., Clarke, R. H., Teixeira, D., Chiaradia, A., & Meyer, B. E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.18.629284 · Cited by 2 · see citing works
Playback-Based Localization of Songbirds Using Multiple Recorders
Bustamante, L., Gallego-Londoño, J., & López, J. D. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-08206-0_26 · Cited by 1 · see citing works
Bioacoustic Detection of Wolves Using AI (BirdNET, Cry-Wolf and BioLingual)
Jacobsen, J. H., Orlando, P., Jensen, L. Ø., Pagh, S., & Pertoldi, C. (2026) · Animals · doi:10.3390/ani16020175 · Cited by 1 · see citing works
Sheehan, M. J., & Zipple, M. N. (2026) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2025.0190 · Cited by 1 · see citing works
Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation
Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5
“The main bottleneck, at least for now, is building and curating reference libraries at a scale that can support global monitoring, along with developing fully automated pipelines that can process such data streams without constant human supervision (Knight et al. 2024; Linhart et al. 2022).”
Suivis acoustiques de biodiversité : perspectives et défis en milieu continental terrestre
Borgne, H. L., & Bouget, C. (2023) · Naturae · doi:10.5852/naturae2023a8
Acoustic individual identification in a species of field cricket using deep learning
Kabuga, E., Nandi, D., Burrell, S. A., Dlamini, G. S., Balakrishnan, R., Bah, B., & Durbach, I. N. (2026) · The Journal of the Acoustical Society of America · doi:10.1121/10.0044100
Morandi, I., Rodriguez, M. A. J., Kwak, M., Petrusková, T., & Linhart, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.19.695494
Self-citationBest, P., Dassow, A., Kershenbaum, A., Nguyen, T. D., Pogson, M., Maheshwari, A., & Marxer, R. (2026) · PeerJ · doi:10.7717/peerj.20655
A Road to a Better Understanding of Rhythms in Speech Using a Comparative Approach
Burchardt, L. S., & Fuchs, S. I. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009295888.009
Meyer, L., Meyer, L., & Meyer, L. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009295888.002
Burton, N. H. K., Kahounová, H., Walker, J. H., Conway, G. J., Robinson, R. A., & Petrusková, T. (2026) · Ibis · doi:10.1111/ibi.70069
Викторовна, К. А., Kozlova, P., & Filatova, O. A. (2026) · Behavioural Processes · doi:10.1016/j.beproc.2026.105404
Passive Acoustic Identification of Social Groups in the Hainan Gibbon
Kabuga, E., Dufourq, E., Luphade, L. N., Turvey, S., Ma, H., Cheyne, S. M., Lui, H., Bryant, J. V., Chen, Q., Li, W., et al. (2026) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.70088
Enhancing individual identification of giant anteaters using natural pelage markings
Massocato, G. F., Bertassoni, A., Adorno, V., & Desbiez, A. L. J. (2026) · Mammal Research · doi:10.1007/s13364-026-00891-9
Stridulant: A Python toolkit for detecting hidden ecological processes through sound
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Vocal identification and monitoring of individual Australian Boobook owls ( Ninox boobook )
Jorge, F., Fuller, R. A., & van Rensburg, B. J. (2026) · Bioacoustics · doi:10.1080/09524622.2026.2755343
- Authors
- Linhart, P., Mahamoud-Issa, M., Stowell, D., & Blumstein, D. T.
- Affiliations
- University of South Bohemia in České Budějovice (CZ)
- Adam Mickiewicz University in Poznań (PL)
- Naturalis Biodiversity Center (NL)
- University of California, Los Angeles (US)
- Corresponding author
- Linhart, Pavel
- Venue
- Mammalian Biology
- Published
- 2022-03-31
- Volume
- 102
- Issue
- 3
- Pages
- 667-683
- ISSN
- 1616-5047 (ISSN-L)
- 1618-1476
- OpenAlex
- W4220788780
- Cited by
- 39
- References
- 133
- Citations by year
- 2026: 15 · 2025: 9 · 2024: 8 · 2023: 5 · 2022: 2
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Mammalian Biology (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Research portal (Tilburg University) (submittedVersion)
- Funders
- National Science Foundation
- Narodowe Centrum Nauki (UMO-2015/19/P/NZ8/02507)
- Grantová Agentura České Republiky (21-04023K)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Keywords
- mammalian vocalizations, acoustic signature, non-invasive identification, cetaceans, primates, speaker recognition, machine learning, animal census, identity signals
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