|
Tradeoffs in sound quality and cost for passive acoustic devices |
Clarissa A. Starbuck, Logan M. DeSchepper, Meredith L. Hoggatt & Joy M. O’Keefe |
2024 |
1 |
58-73 |
|
Audio data compression affects acoustic indices and reduces detections of birds by human listening and automated recognisers |
Alexander G. MacPhail, Daniel A. Yip, Elly C. Knight, Richard Hedley, Michelle Knaggs, Julia Shonfield, Emily Upham-Mills & Erin M. Bayne |
2024 |
1 |
74-90 |
|
The importance of acoustic background modelling in CNN-based detection of the Neotropical White-lored Spinetail (Aves, Passeriformes, Furnaridae) |
Thiago M. Ventura, Todor D. Ganchev, Cristian Pérez-Granados, Allan G. de Oliveira, Gabriel de S. G. Pedroso, Marinez I. Marques & Karl-L. Schuchmann |
2024 |
2 |
|
|
Field tests of small autonomous recording units: an evaluation of in-person versus automated point counts and a comparison of recording quality |
|
2024 |
2 |
|
|
Efficient quality assurance and quality control for passive acoustic monitoring data: reducing and documenting false-positive and false-negative errors |
Janine M. McManus, Barry G. Robinson & Steven L. Van Wilgenburg |
2024 |
2 |
|
|
Parselmouth for bioacoustics: automated acoustic analysis in Python |
Yannick Jadoul, Bart de Boer & Andrea Ravignani |
2024 |
1 |
1-19 |
|
Unsupervised discrimination of male Tawny owls (Strix aluco) individual calls using robust measurements of the acoustic signal |
Daniele Roccazzello, Orlando Tomassini, Elena Bernardini, Alessandro Massolo, Marco Dragonetti & Dimitri Giunchi |
2024 |
1 |
20-40 |
|
Automated bat call classification using deep convolutional neural networks |
E. Schwab, S. Pogrebnoj, M. Freund, F. Flossmann, S. Vogl & K.-H. Frommolt |
2023 |
1 |
1-16 |
|
Analysis of Mouse Vocal Communication (AMVOC): A deep, unsupervised method for rapid detection, analysis, and classification of ultrasonic vocalizations |
Vasiliki Stoumpou, César D. M. Vargas, Peter F. Schade, J. Lomax Boyd, Theodoros Giannakopoulos & Erich D. Jarvis |
2023 |
2 |
199-229 |
|
Automated Cataloguing of American silver perch (Bairdiella chrysoura) calls using machine learning |
DelWayne R. Bohnenstiehl |
2023 |
4 |
453-473 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
Book review: The Handbook of acoustic bat detection |
Krista Patriquin |
2022 |
6 |
740-742 |
|
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 |
|
Characterization and classification method of burst pulses produced by Guiana dolphins (Sotalia guianensis) |
Mariana Barbosa, Lis Bittencourt, Tatiana Lemos Bisi, José Lailson-Brito & Alexandre F. Azevedo |
2022 |
1 |
69-80 |
|
Using autonomous recording units and change-point analysis to determine reproductive activity in an aerial insectivore |
Delaney R. Brooks & Joseph J. Nocera |
2022 |
2 |
208-218 |
|
Slope does not affect autonomous recorder detection shape: considerations for acoustic monitoring in forested landscapes |
Taylor Shaw, Sandra Müller & Michael Scherer-Lorenzen |
2022 |
3 |
261-282 |
|
BioAcoustic Index Tool: Long-term biodiversity monitoring using on-sensor acoustic index calculations |
David Kadish & Kasper Stoy |
2022 |
3 |
348-378 |
|
CARACAL: A versatile passive acoustic monitoring tool for wildlife research and conservation |
Matthew Wijers, Andrew Loveridge, David W. Macdonald & Andrew Markham |
2021 |
1 |
41-57 |
|
Using playbacks to monitor and investigate the behaviour of wild maned wolves |
Luane Stamatto Ferreira, Júlia Simões Damo, Victor Sábato, Júlio Ernesto Baumgarten, Flávio Henrique Guimarães Rodrigues & Renata Sousa-Lima |
2021 |
1 |
74-92 |
|
Singing in South Africa: monitoring the occurrence of humpback whale (Megaptera novaeangliae) song near the Western Cape |
E. C. Ross-Marsh, S. H. Elwen, A. S. Prinsloo, B. S. James & T. Gridley |
2021 |
2 |
163-179 |
|
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 |
|
Echolocation signals of bats – a retrospective |
David Pye |
2021 |
4 |
487-497 |
|
Tracking European bat species with passive acoustic directional monitoring |
David Wallis & Morten Elmeros |
2021 |
4 |
418-436 |
|
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 |
|
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 |
|
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 |
|
Combining audio and non-audio inputs in evolved neural networks for ovenbird classification |
Sergio Poo Hernandez, Vadim Bulitko & Erin Bayne |
In press |
|
|
|
Book review: Sound Analysis and Synthesis with R |
Fernando Montealegre-Z |
2020 |
5 |
617-618 |
|
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 |
|
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 |
|
Crowd intelligence can discern between repertoires of killer whale ecotypes |
Anastasya Yu. Danishevskaya, Olga A. Filatova, Filipa I P. Samarra, Patrick J O. Miller, John K B Ford, Harald Yurk, Craig O. Matkin & Erich Hoyt |
2020 |
1 |
15-27 |
|
Vocalizations of the Ryukyu Scops Owl: individually recognisable and stable |
Masaoki Takagi |
2020 |
1 |
28-44 |
|
A telemetry study to discriminate between home range and territory size in Tawny Owls |
Gorka Burgos & Iñigo Zuberogoitia |
2020 |
1 |
109-121 |
|
An unsupervised Hidden Markov Model-based system for the detection and classification of blue whale vocalizations off Chile |
Susannah J. Buchan, Rodrigo Mahú, Jorge Wuth, Naysa Balcazar-Cabrera, Laura Gutierrez, Sergio Neira & Néstor Becerra Yoma |
2020 |
2 |
140-167 |
|
The perceptual effects of manipulating nonlinear phenomena in synthetic nonverbal vocalizations |
Andrey Anikin |
2020 |
2 |
226-247 |
|
Vocal instability over time in individual male European Nightjars, Caprimulgus europaeus: recommendations for acoustic monitoring and surveys |
Sarah Raymond, Sarah Spotswood, Hazel Clarke, Natalia Zielonka, Andrew Lowe & Kate L. Durrant |
2020 |
3 |
280-295 |
|
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 |
|
Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring |
Cathleen M. Balantic & Therese M. Donovan |
2020 |
3 |
296-321 |
|
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 |
|
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 |
|
Conceptual and statistical problems with the use of the Shannon-Weiner entropy index in bioacoustic analyses |
Luis Sandoval, Gilbert Barrantes & David R. Wilson |
2019 |
4 |
297-311 |
|
Brays and bits: information theory applied to acoustic communication sequences of bottlenose dolphins |
A. R. Luís, I. S. Alves, F. V. Sobreira, M. N. Couchinho & M. E. dos Santos |
2019 |
3 |
286-296 |
