Open Access
Issue
Acta Acust.
Volume 10, 2026
Article Number 16
Number of page(s) 11
Section Environmental Noise
DOI https://doi.org/10.1051/aacus/2026001
Published online 11 March 2026
  1. J.W. Bradbury, S.L. Vehrencamp: Principles of Animal Communication. Vol. 132. Sinauer Associates, Sunderland, MA, 1998. [Google Scholar]
  2. S.L. McFadden, A.M. Simmons, C. Erbe, J.A. Thomas: Behavioral and physiological audiometric methods for animals, in: Exploring Animal Behavior Through Sound. Vol. 1. Springer International Publishing, Cham, 2022, pp. 355–387. https://doi.org/10.1007/978-3-030-97540-1_10. [Google Scholar]
  3. L. Caminos, J. Garcia-Manrique, A. Lima-Rodriguez, A. Gonzalez-Herrera: Analysis of the mechanical properties of the human tympanic membrane and its influence on the dynamic behaviour of the human hearing system. Applied Bionics and Biomechanics 2018 (2018) 1–12. [Google Scholar]
  4. International Standard: Electroacoustics – Sound Level Meters. Part 3: Periodic Tests: Edition 2.0. IEC Publications, Geneva, 2013. [Google Scholar]
  5. IEC: 61672-1, Electroacoustics – Sound level meters – Part 1: Specifications. International Electrotechnical Commission, Geneva, 2013. [Google Scholar]
  6. Brüel & Kjær: Microphone Handbook: Vol. 1 – Theory (Product Data Sheet BP0029). https://www.bksv.com/-/media/literature/Product-Data/bp0029.ashx, Last viewed April 29, 2025. [Google Scholar]
  7. T.S. Ibekwe, D.O. Folorunsho, E.A. Dahilo, I.O. Gbujie, M.M. Nwegbu, O.G. Nwaorgu: Evaluation of mobile smartphones App as a screening tool for environmental noise monitoring. Journal of Occupational and Environmental Hygiene 13, 2 (2016) D31–36. [Google Scholar]
  8. T. McLennon, S. Patel, A. Behar, M. Abdoli-Eramaki: Evaluation of smartphone sound level meter applications as a reliable tool for noise monitoring. Journal of Occupational and Environmental Hygiene 16, 9 (2019) 620–627. [Google Scholar]
  9. E. Murphy, E.A. King: Smartphone-based noise mapping: integrating sound level meter App data into the strategic noise mapping process. Science of The Total Environment 562 (2016) 852–859. [Google Scholar]
  10. G. Fava, G. Oliveira, M. Baglione, M. Pimpinella, J.B. Spitzer: The use of sound level meter apps in the clinical setting. American Journal of Speech-Language Pathology 25, 1 (2016) 14–28. [Google Scholar]
  11. C.A. Kardous, P.B. Shaw: Evaluation of smartphone sound measurement applications. The Journal of the Acoustical Society of America 135, 4 (2014) EL186–EL192. [Google Scholar]
  12. C.A. Kardous, P.B. Shaw: Evaluation of smartphone sound measurement applications (apps) using external microphones: a follow-up study. The Journal of the Acoustical Society of America 140, 4 (2016) EL327. [Google Scholar]
  13. B. Roberts, C. Kardous, R. Neitzel: Improving the accuracy of smart devices to measure noise exposure. Journal of Occupational and Environmental Hygiene 13, 11 (2016) 840–846. [Google Scholar]
  14. Y.C. Serpanos, J.R. Schoepflin, S.R. Cox, D. Davis: The accuracy of smartphone sound level meter applications (SLMAs) in measuring sound levels in clinical rooms. Journal of the American Academy of Audiology 32, 1 (2021) 27–34. [Google Scholar]
  15. H.C. Gerhardt: Auditory selectivity for the acoustic properties of conspecific mate-attracting signals in lower vertebrates and songbirds. Open Access Animal Physiology 7 (2015) 73–85. [Google Scholar]
  16. H. Khan, C. Findlay, R.A. Stevenson, T. Singh: Evaluating the accuracy of android applications in monitoring environmental noise levels. Cureus 17, 3 (2025) e81471. [Google Scholar]
  17. U. Sandberg: The multi-coincidence peak around 1000 Hz in tyre/road noise spectra. Euronoise Naples 89, 1–8 (2003) 2019. https://citeseerx.ist.psu.edu/document?repid=rep1 &type=pdf &doi=8bdaefd04198583dbe24c37f3f03f0145c4f5e84. [Google Scholar]
  18. J.R. Barber, K.R. Crooks, K.M. Fristrup: The costs of chronic noise exposure for terrestrial organisms. Trends in Ecology & Evolution 25, 3 (2010) 180–189. [Google Scholar]
  19. D. Pardo-Quiles, J.-V. Rodríguez, J.-M. Molina-García-Pardo, L. Juan-Llácer: Traffic noise mitigation using single and double barrier caps of different shapes for an extended frequency range. Applied Sciences 10, 17 (2020) 5746. [Google Scholar]
  20. E. Freitas, P. Pereira, L. de Picado-Santos, A. Santos: Traffic noise changes due to water on porous and dense asphalt surfaces. Road Materials and Pavement Design 10, 3 (2009) 587–607. [Google Scholar]
  21. V. Vaillancourt, H. Nélisse, C. Laroche, C. Giguére, J. Boutin, P. Laferriére: Comparison of sound propagation and perception of three types of backup alarms with regards to worker safety. Noise and Health 15, 67 (2013) 420–436. [CrossRef] [PubMed] [Google Scholar]
  22. H.S. Chan: Criteria for a Recommended Standard: Occupational Noise Exposure: Revised Criteria 1998, 1998. [Google Scholar]
  23. N. Natarajan, S. Batts, K.M. Stankovic: Noise-induced hearing loss. Journal of Clinical Medicine 12, 6 (2024) 2347. [Google Scholar]
  24. D.I. McBride, S. Williams: Audiometric notch as a sign of noise induced hearing loss. Occupational and Environmental Medicine 58, 1 (2001) 46–51. [Google Scholar]
  25. N. Howells, A.C. Lees, J. Barlow, E. Berenguer, L.C. Rossi, J. Sueur, M.J. Sullivan, Y.G. Ramos, O.C. Metcalf: Temporal patterns of Amazonian insect acoustic activity. Philosophical Transactions B 380 (1928) 20240337. [Google Scholar]

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