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Academic literature on the topic 'Fish vocalizations'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Fish vocalizations"

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Mohebbi-Kalkhoran, Hamed, Shourav Pednekar, Chenyang Zhu, et al. "Passive ocean acoustic waveguide remote sensing of vocalization behavior and spatial distribution of diverse marine mammal species in the Norwegian and Barents Sea." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A132. http://dx.doi.org/10.1121/10.0023025.

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Leveraging data acquired using a 160-element coherent hydrophone array deployed in the Norwegian and Barents Seas during spring 2014, and the passive ocean acoustic waveguide remote sensing (POAWRS) technique is employed to enable instantaneous wide-area monitoring of marine mammal vocalizations over expanses exceeding 100 km in diameter. The vocalization behavior of diverse marine mammal species including Fin, Humpback, Minke, Sperm, and Beluga whales are analyzed, quantifying time-frequency characteristics and call patterns from their vocalization signals present in high-resolution beamforme

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Tribble, Caroline, Agnieszka Monczak, Lindsey Transue, et al. "Enhancing Interpretation of Cetacean Acoustic Monitoring: Investigating Factors that Influence Vocalization Patterns of Atlantic Bottlenose Dolphins in an Urbanized Estuary, Charleston Harbor, South Carolina, USA." Aquatic Mammals 49, no. 6 (2023): 519–49. http://dx.doi.org/10.1578/am.49.6.2023.519.

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The Charleston Harbor in South Carolina (SC)is a major port that experiences high levels of vessel traffic. Historical analyses of coastal bottlenose dolphin (Tursiops truncatus, now Tursiops erebennus) sightings identified multiple core use areas in the harbor that overlap with these anthropogenic activities. Informed by these long-term spatial data, passive acoustic monitoring, visual surveys, and prey sampling were conducted from December 2017 to June 2019 to assess the relationships and multivariate interactions that may influence dolphin vocalization patterns. Vocalizations varied spatial

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Chanda, Kranthikumar, Shubham Shet, Bishwajit Chakraborty, Arvind K. Saran, William Fernandes, and G. Latha. "Fish Sound Characterization Using Multifractal Detrended Fluctuation Analysis." Fluctuation and Noise Letters 19, no. 01 (2020): 2050009. http://dx.doi.org/10.1142/s0219477520500091.

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This work involves the application of a non-linear method, multifractal detrended fluctuation analysis (MFDFA), to describe fish sound data recorded from the open waters of two major estuarine systems. Applying MFDFA, the second-order Hurst exponent [Formula: see text] values are found to be [Formula: see text] and [Formula: see text] for the fish families Batrachoididae (common name: Toadfish) and Sciaenidae (common name: Croakers, drums), respectively. The generalized Hurst exponent [Formula: see text]-related width parameters [Formula: see text] are found to be [Formula: see text] and [Form

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4

Kittelberger, J. Matthew, Bruce R. Land, and Andrew H. Bass. "Midbrain Periaqueductal Gray and Vocal Patterning in a Teleost Fish." Journal of Neurophysiology 96, no. 1 (2006): 71–85. http://dx.doi.org/10.1152/jn.00067.2006.

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Midbrain structures, including the periaqueductal gray (PAG), are essential nodes in vertebrate motor circuits controlling a broad range of behaviors, from locomotion to complex social behaviors such as vocalization. Few single-unit recording studies, so far all in mammals, have investigated the PAG's role in the temporal patterning of these behaviors. Midshipman fish use vocalization to signal social intent in territorial and courtship interactions. Evidence has implicated a region of their midbrain, located in a similar position as the mammalian PAG, in call production. Here, extracellular s

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Azofeifa Solano, Juan Carlos, Miles Parsons, Rohan Brooker, Robert McCauley, and Christine Erbe. "Vocalizations of two conspecific damselfish (Pomacentridae) at two Australian World Heritage sites: The Ningaloo Coast and the Great Barrier Reef." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A90. http://dx.doi.org/10.1121/10.0022899.

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Novel methods to use Ocean Sound to address ecological questions are increasingly being developed but require optimization and validation to ensure their reliability. Source validation, increasing the number of known soniferous species of marine fauna, and characterizing their acoustic repertoires are important components of this effort. Coral reefs are remarkably complex, diverse, and noisy environments, inhabited by many soniferous species, hindering the association of vocalizations with the emitting species. Damselfish (Pomacentridae) are common and conspicuous reef fishes that have been re

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Sattar, Farook, Sarika Cullis-Suzuki, and Feng Jin. "Identification of fish vocalizations from ocean acoustic data." Applied Acoustics 110 (September 2016): 248–55. http://dx.doi.org/10.1016/j.apacoust.2016.03.025.

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7

Garcia, Heriberto A., Chenyang Zhu, Matthew E. Schinault, et al. "Temporal–spatial, spectral, and source level distributions of fin whale vocalizations in the Norwegian Sea observed with a coherent hydrophone array." ICES Journal of Marine Science 76, no. 1 (2018): 268–83. http://dx.doi.org/10.1093/icesjms/fsy127.

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Abstract To better understand fin whale vocalization behaviour in the Norwegian and Barents Seas, a large-aperture densely sampled coherent hydrophone array was deployed in late winter 2014 to monitor their vocalizations instantaneously over wide areas via passive ocean acoustic waveguide remote sensing (POAWRS). Here, we (i) provide a time-frequency characterization for different call types observed (20 Hz pulses, 130 Hz upsweeps, 30–100 Hz downsweep chirps, and 18–19 Hz backbeats); (ii) compare their relative abundances in three different coastal regions off Alesund, Lofoten, and Northern Fi

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8

Ogurek, Shaye Dana-Lynn, William D. Halliday, Mackenzie B. Woods, Nick Brown, Sigal Balshine, and Francis Juanes. "Boat noise impedes vocalizations of wild plainfin midshipman fish." Marine Pollution Bulletin 203 (June 2024): 116412. http://dx.doi.org/10.1016/j.marpolbul.2024.116412.

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9

Jones, Ian T., and Julien Bonnel. "Particle motion polarization of offshore fish vocalizations, boat noise, and ambient soundscapes." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A181. http://dx.doi.org/10.1121/10.0027240.

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Acoustic particle motion is an important acoustic cue for fish and aquatic invertebrate hearing. When reported for bioacoustics applications, it is often described as a magnitude only. However, particle motion is a vector quantity with polarization information (including directionality) relevant to detection and localization of sound cues by fishes and invertebrates. This study applied established metrics of particle motion polarization including ellipse amplitude, angle, orientation, and degree of polarization, to compare sounds of fish vocalizations with that of boat and ambient sounds at a

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Duane, Daniel, Nicholas Kroeger, Simon Freeman, and Lauren Freeman. "Unsupervised detection and classification of fish vocalizations in coral reefs." Journal of the Acoustical Society of America 156, no. 4_Supplement (2024): A84. https://doi.org/10.1121/10.0035188.

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Typical convolutional neural network detectors for acoustic signals rely on large quantities of labeled data, which can be expensive and time-intensive to generate. Unsupervised neural network architectures allow for the automatic detection and classification of acoustic signals, which may be especially useful for classifying underwater signals that a typical human labeler may not be familiar with. Here, we used a convolutional autoencoder to automatically detect and classify fish vocalizations in a coral reef off the coast of Hawaii Island. A database of more than 2 million spectrogram segmen

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Books on the topic "Fish vocalizations"

1

(Editor), Jacqueline F. Webb, Richard R. Fay (Editor), and Arthur N. Popper (Editor), eds. Fish Bioacoustics (Springer Handbook of Auditory Research). Springer, 2008.

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Book chapters on the topic "Fish vocalizations"

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Neenan, Sarah T. V., Rayner Piper, Paul R. White, Paul Kemp, Timothy G. Leighton, and Peter J. Shaw. "Does Masking Matter? Shipping Noise and Fish Vocalizations." In The Effects of Noise on Aquatic Life II. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2981-8_91.

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Woods, Mackenzie B., William D. Halliday, Sigal Balshine, and Francis Juanes. "Impact of Motorboat Noise on Vocalizations of Nesting Plainfin Midshipman Fish." In The Effects of Noise on Aquatic Life. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-10417-6_185-1.

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Woods, Mackenzie B., William D. Halliday, Sigal Balshine, and Francis Juanes. "Impact of Motorboat Noise on Vocalizations of Nesting Plainfin Midshipman Fish." In The Effects of Noise on Aquatic Life. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-50256-9_185.

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Conference papers on the topic "Fish vocalizations"

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Li, Wenbo, Ting Zhang, Yanlin Zhou, and Wen Xu. "Analyzing and Classifying Fish Vocalization in the East China Sea Coastal Area." In OCEANS 2024 - SINGAPORE. IEEE, 2024. http://dx.doi.org/10.1109/oceans51537.2024.10682341.

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