|
Development of a conservative-automated tonal detector with high performance at a large temporal scale |
Naïs Caron Delbosc, Delphine Mathias, Laurent Chauvaud, Heidi Ahonen, Samuel M. Llobet, Christian Lydersen, Kit M. Kovacs & Gaëtan Richard |
2025 |
6 |
775-790 |
|
Book review: The Handbook of acoustic bat detection |
Krista Patriquin |
2022 |
6 |
740-742 |
|
SynSing: open-source MATLAB code for generating synthetic signals in studies of animal acoustic communication |
Jessie C. Tanner, Joshua Justison & Mark A. Bee |
2020 |
6 |
731-752 |
|
Unsupervised classification of graded animal vocalisations using fuzzy clustering |
Benjamin Benti, Patrick JO Miller, Heike Vester, Florencia Noriega & Charlotte Curé |
2025 |
6 |
725-752 |
|
Hidden Markov model for detection of mysticetes' vocalisations based on principal component analysis |
Olayinka O. Ogundile, Oluwaseyi P. Babalola, Seun G. Odeyemi & Kazeem I. Rufai |
2022 |
6 |
710-738 |
|
An analysis of avian vocal performance at the note and song levels |
David M. Logue, Jacob A. Sheppard, Bailey Walton, Benjamin E. Brinkman & Orlando J. Medina |
2020 |
6 |
709-730 |
|
The sound of hope: searching for critically endangered species using acoustic template matching |
C.B. De Araújo, J.P. Zurano, I.M.D. Torres, C.R.M.A. Simões, G.L.M. Rosa, A.G. Aguiar, W. Nogueira, H.A.L.S. Vilela, G. Magnago, B.T. Phalan & G.A. Zurita |
2023 |
6 |
708-723 |
|
Use of recurrence plots for identification and extraction of patterns in humpback whale song recordings |
F. Malige, D. Djokic, J. Patris, R. Sousa-Lima & H. Glotin |
2021 |
6 |
680-695 |
|
Evaluating factors affecting species detection using passive acoustic monitoring in neotropical forests: a playback experiment |
Anja Hutschenreiter, J. Roberto Sosa-López, Fernando González-García & Filippo Aureli |
2023 |
6 |
660-678 |
|
Chasing the bird: 3D acoustic tracking of aerial flight displays with a minimal planar microphone array |
Guillaume Dutilleux, Brett K. Sandercock & John Atle Kålås |
2023 |
6 |
622-641 |
|
Book review: Sound Analysis and Synthesis with R |
Fernando Montealegre-Z |
2020 |
5 |
617-618 |
|
Fuzzy clustering methods reveal structurally discrete and graded alarm calls in male Red-winged Blackbirds (Agelaius phoeniceus) |
Katelyn A. Ray, Katharine S. Maurer, Dana A. Cusano, Mark E. Hauber & Sharon A. Gill |
2026 |
5 |
617-634 |
|
A systematic review of passive acoustic monitoring for anuran conservation |
Marco Lassandro, Liam Bolitho & David Newell |
2025 |
5 |
579-628 |
|
Vocal discrimination of African lions and its potential for collar-free tracking |
Matthew Wijers, Paul Trethowan, Byron Du Preez, Simon Chamaillé-Jammes, Andrew J. Loveridge, David W. Macdonald & Andrew Markham |
2021 |
5 |
575-593 |
|
Tradition vs. innovation: comparing bioacoustics and mist-net results to bat sampling |
Matheus Camargo Silva Mancini, Frederico Hintze, Rafael de Souza Laurindo, Rodrigo de Macêdo Mello & Renato Gregorin |
2022 |
5 |
575-593 |
|
Assessing spontaneous howling rates in captive wolves using automatic passive recorders |
Vicente Palacios, Shannon M. Barber-Meyer, Bárbara Martí-Domken & Lori J. Schmidt |
2022 |
5 |
562-574 |
|
Variant maps for bat echolocation call identification algorithms |
Olga Heim, Dennis M. Heim, Lara Marggraf, Christian C. Voigt, Xin Zhang, Yaming Luo & Jeffrey Zheng |
2020 |
5 |
557-571 |
|
Decoding the “Zeep” complex: Quantitative analysis of interspecific variation in the nocturnal flight calls of nine wood warbler species (Parulidae spp.) |
Blaine J. Landsborough, Jennifer R. Foote & Daniel J. Mennill |
2019 |
6 |
555-574 |
|
Classification threshold and training data affect the quality and utility of focal species data processed with automated audio recognition software |
Elly C. Knight & Erin M. Bayne |
2019 |
6 |
539-554 |
|
Passive acoustic surveys and the BirdNET algorithm reveal detailed spatiotemporal variation in the vocal activity of two Anurans |
Connor M. Wood, Stefan Kahl, Stephanie Barnes, Rachel Van Horne & Cathy Brown |
2023 |
5 |
532-543 |
|
Monitoring cave-dwelling bats using remote passive acoustic detectors: a new approach for cave monitoring |
Natalia Revilla-Martín, Ivana Budinski, Xavier Puig-Montserrat, Carles Flaquer & Adrià López-Baucells |
2021 |
5 |
527-542 |
|
Passive Acoustic Monitoring in terrestrial vertebrates: a review |
Sebastian Hoefer, Donald T. McKnight, Slade Allen-Ankins, Eric J. Nordberg & Lin Schwarzkopf |
2023 |
5 |
506-531 |
|
Development and test of a bat calls detection and classification method based on convolutional neural networks |
Y. Paumen, M. Mälzer, S. Alipek, J. Moll, B. Lüdtke & H. Schauer-Weisshahn |
2022 |
5 |
505-516 |
|
The bat detector story |
David Pye |
2025 |
4 |
500-508 |
|
Echolocation signals of bats – a retrospective |
David Pye |
2021 |
4 |
487-497 |
|
Automated Cataloguing of American silver perch (Bairdiella chrysoura) calls using machine learning |
DelWayne R. Bohnenstiehl |
2023 |
4 |
453-473 |
|
Noise affects porpoise click detections – the magnitude of the effect depends on logger type and detection filter settings |
Karin Tubbert Clausen, Jakob Tougaard, Jacob Carstensen, Matthieu Delefosse & Jonas Teilmann |
2019 |
5 |
443-458 |
|
Deep learning-based fine-scale bioacoustic monitoring reveals nocturnal calling activity patterns of translocated Pelophylax nigromaculatus and native Dryophytes leopardus in a rice paddy |
Hinata Matsubara, Shinji Fukuda & Naohisa Nakashima |
2026 |
4 |
429-447 |
|
Bioacoustic fundamental frequency estimation: a cross-species dataset and deep learning baseline |
Paul Best, Marcelo Araya-Salas, Axel G. Ekström, Bárbara Freitas, Frants H. Jensen, Arik Kershenbaum, Adriano R. Lameira, Kenna D. S. Lehmann, Pavel Linhart, Robert C. Liu, Malavika Madhavan, Andrew Markham, Marie A. Roch, Holly Root-Gutteridge, Martin Šálek, Grace Smith-Vidaurre, et al. |
2025 |
4 |
419-446 |
|
Tracking European bat species with passive acoustic directional monitoring |
David Wallis & Morten Elmeros |
2021 |
4 |
418-436 |
|
Proportion of time vocalising as a metric of vocal activity |
Andrey Anikin |
2026 |
4 |
401-416 |
|
Software performance for the automated identification of bird vocalisations: the case of two closely related species |
Jean Marchal, François Fabianek & Yves Aubry |
2022 |
4 |
397-413 |
|
AURITA: an affordable, autonomous recording device for acoustic monitoring of audible and ultrasonic frequencies |
Richard D. Beason, Rüdiger Riesch & Julia Koricheva |
2019 |
4 |
381-396 |
|
Undesirable ambient noise during wildlife surveys decreases detection probability |
Emily K. Anderson, Pete F. Kerby-Miller, Julia M. Pupko, Nathaniel R. Sharp, Kevin S. Tolan & Jason M. Hill |
2026 |
3 |
379-399 |
|
Pinpointing the position of flying songbirds with a wireless microphone array: three-dimensional triangulation of warblers on the wing |
Zach G. Gayk & Daniel J. Mennill |
2020 |
4 |
375-386 |
|
Which Qs to choose: questions of quality in Bioacoustics? |
H. C. Bennet-Clark |
1999 |
4 |
351-359 |
|
BioAcoustic Index Tool: Long-term biodiversity monitoring using on-sensor acoustic index calculations |
David Kadish & Kasper Stoy |
2022 |
3 |
348-378 |
|
Discriminating Between Fish Sounds - a Wavelet Approach |
Mark Wood, Licia Casaretto, Graham Horgan and Anthony D Hawkin |
2002 |
2-3 |
337-339 |
|
Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks |
Elly C. Knight, Sergio Poo Hernandez, Erin M. Bayne, Vadim Bulitko & Benjamin V. Tucker |
2020 |
3 |
337-355 |
|
Designing Experiments to Test for Behavioural Effects of Sound |
Peter K. McGregor |
2008 |
1-3 |
336-338 |
|
A Remote-Controlled Instrument Platform for Fish Behaviour Studies and Sound Monitoring |
Ingvald Svellingen, Bjørn Totland and Jan Tore Øvredal |
2002 |
2-3 |
335-336 |
|
Technical Instrumentation Issues Related to the Design and Execution of a Controlled-Exposure Experiment for Large Cetaceans to Assess Possible Behavioural Responses and Potential Impacts |
Bruce R. Mate |
2008 |
1-3 |
334-336 |
|
Acoustical Neural Telemetry from Free-Swimming Fish |
Allen F. Mensinger and Max Deffenbaugh |
2002 |
2-3 |
333-334 |
|
Sound Exposure Chamber for Assessing the Effects of High-Intensity Sound on Fish |
James S. Martin and Peter H. Rogers |
2008 |
1-3 |
331-333 |
|
Equipment for recording the sounds of birds and other animals |
R. Ranft |
1991 |
4 |
331-334 |
|
Analyses of Small Tank Acoustics: Empirical and Theoretical Approaches |
Tsuyoshi Okumura, Tomonari Akamatsu and Hong Y. Yan |
2002 |
2-3 |
330-332 |
|
Recent Bioacoustic Publications (2006 and earlier). Part 2: Mammals - Techniques |
Hansen, P. |
2007 |
3 |
329-365 |
|
In Vitro Whole Brain Preparation of Fish for the Electrophysiological Analysis of Sensory Pathways |
Michaela Meyer, Dennis T. T. Plachta, Arthur N. Power and Horst Bleckmann |
2002 |
2-3 |
328-330 |
|
The Use of Acoustically Evoked Potentials for the Study of Hearing in Fishes |
Hong Young Yan |
2002 |
2-3 |
325-328 |
|
Automatic bird sound detection: logistic regression based acoustic occupancy model |
Yi-Chin Tseng, Bianca N. I. Eskelson, Kathy Martin & Valerie LeMay |
2021 |
3 |
324-340 |
