The DOI matches its Crossref record; 23 of the 26 references it cites were found in a registry or an index.
Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function
Open accessAbstract
A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): automatic individual verification algorithm and semi-automatic individual verification algorithm. The evaluation of the automatic algorithm shows an average precision that is over 80% for the identification comparatives. It is shown that the efficiencies of the algorithms depend on the complexity of the vocalizations.
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“Hidden Markov Models and band-limited phase-only correlation extend these gains to cases where training data are scarce”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Pedroza et al. 2020
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Cites
Getting the measure of biodiversity
Purvis, A., & Hector, A. (2000) · Nature · doi:10.1038/35012221 · Cited by 1,492
Monitoring bird populations by point counts
Ralph, C. J., Sauer, J. R., & Droege, S. (1995) · doi:10.2737/psw-gtr-149 · Cited by 852
Avian habitat evaluation: should counting birds count?
Bock, C. E., & Jones, Z. F. (2004) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2004)002[0403:ahescb]2.0.co;2 · Cited by 317
An Effective Approach for Iris Recognition Using Phase-Based Image Matching
Miyazawa, K., Ito, K., Aoki, T., Kobayashi, K., & Nakajima, H. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70833 · Cited by 286
Manual de métodos de campo para el monitoreo de aves terrestres
Ralph, C. J., Geupel, G. R., Pyle, P., Martin, T. E., DeSante, D. F., & Milá, B. (1996) · doi:10.2737/psw-gtr-159 · Cited by 271
The role of vocal individuality in conservation
Terry, A. M. R., Peake, T. M., & McGregor, P. K. (2005) · Frontiers in Zoology · doi:10.1186/1742-9994-2-10 · Cited by 207
The Global Biodiversity Information Facility (GBIF)
Lane, M. A., & Edwards, J. L. (2016) · CRC Press eBooks · doi:10.1201/9781439832547-1 · Cited by 197
Automated species recognition of antbirds in a Mexican rainforest using hidden Markov models
Trifa, V., Kirschel, A. N. G., TAYLOR, C. E., & Vallejo, E. E. (2008) · The Journal of the Acoustical Society of America · doi:10.1121/1.2839017 · Cited by 148
Bioacoustics approaches in biodiversity inventories
Obrist, M. К., Pavan, G., Sueur, J., Riede, K., Llusia, D., & Márquez, R. (2010) · DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research) · Cited by 93
An efficient iris recognition algorithm using phase-based image matching
Miyazawa, K., Ito, K., Aoki, T., Kobayashi, K., & Nakajima, H. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2005.1529988 · Cited by 88
Research works printed but not linked: 4
- Emlen, 1992, Counting birds: The problem of variable hearing abilities (contando aves: El problema de la variabilidad en la capacidad auditiva), J. Field Ornithol., 63, 26
- Catchpole, C.K., and Slater, P.J. (2003). Bird Song: Biological Themes and Variations, Cambridge University Press.
- Ito, 2004, A fingerprint matching algorithm using phase-only correlation, IEICE Trans. Fundam. Electron. Commun. Comp. Sci., 87, 682
- Teusdea, A.C., and Gabor, G. (2009, January 25–28). Iris recognition with phase-only correlation. Proceedings of the Annals of DAAAM and Proceedings of the International DAAAM Symposium, Vienna, Austria. Available online: https://www.gale.com/intl/databases/gale-onefile.
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AMResNet: An automatic recognition model of bird sounds in real environment
Xiao, H., Liu, D., Chen, K., & Zhu, M. (2022) · Applied Acoustics · doi:10.1016/j.apacoust.2022.109121 · Cited by 33
Acoustic censusing and individual identification of birds in the wildPreprint
Bedoya, C. L., & Molles, L. E. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.29.466450 · Cited by 17
Liu, D., Xiao, H., & Chen, K. (2024) · Applied Acoustics · doi:10.1016/j.apacoust.2024.110285 · Cited by 14
Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation
Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5
“Hidden Markov Models and band-limited phase-only correlation extend these gains to cases where training data are scarce (Grow-cott et al. 2024; Pedroza et al. 2020).”
Metadata
- Authors
- Pedroza, A. D., De la Rosa, J. I., Rosas, R., Becerra, A., Villa, J., Moreno, G., González, E., & Alaniz, D.
- Affiliations
- Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Avenida Ramón López Velarde 801, Zacatecas 98000, Mexico
- Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Carretera a la Bufa, Zacatecas 98000, Mexico
- Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
- ORCID
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2020-03-31
- Volume
- 10
- Issue
- 7
- Pages
- 2382
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W3014290117
- Cited by
- 4
- References
- 26
- Citations by year
- 2026: 1 · 2024: 1 · 2022: 1 · 2021: 1
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Consejo Nacional de Ciencia y Tecnología
- Universidad Autónoma de Zacatecas
- Topics
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Vocal Communication and Behavior
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Keywords
- bird vocalizations, phase-only correlation, biometrics
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- Pedroza, A. D., De la Rosa, J. I., Rosas, R., Becerra, A., Villa, J., Moreno, G., González, E., & Alaniz, D. (2020). Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function. Applied Sciences. https://doi.org/10.3390/app10072382