|
Improving individual identification in captive Eastern Grey Wolves (Canis lupus lycaon) using the time course of howl amplitudes |
Holly Root-Gutteridge, Martin Bencsik, Manfred Chebli, Louise K. Gentle, Christopher Terrell-Nield, Alexandra Bourit and Richard W. Yarnell |
2014 |
1 |
39-53 |
|
Improved measurement algorithms for primate vocal communication research, with application to Lemur catta [abstract] |
Janzen, R E & Bolt, L M |
2012 |
1 |
38-39 |
|
An automatic system for detecting and classifying the vocalisations of harbour porpoises |
Gillespie, D. & Chappell, O. |
2002 |
1 |
37-61 |
|
Individual acoustic identification as a non-invasive conservation tool: an approach to the conservation of the African wild dog Lycaon pictus (Temminck, 1820) |
S. Hartwig |
2005 |
1 |
35-50 |
|
Bioacoustic monitoring of nocturnal birds in wetland areas [abstract] |
Frommolt, K-H & Tauchert, K-H |
2012 |
1 |
34 |
|
A comparison of the performance of broad-band and narrow-band bat detectors in two different habitat types |
S. Parsons |
1996 |
1 |
33-43 |
|
The Song Overlap Null model Generator (SONG): a new tool for distinguishing between random and non-random song overlap |
Masco, Christina; Allesina, Stefano; Mennill, Daniel; Pruett-Jones, Stephen |
2016 |
1 |
29-40 |
|
Vocalizations of the Ryukyu Scops Owl: individually recognisable and stable |
Masaoki Takagi |
2020 |
1 |
28-44 |
|
Classification algorithms for species identification in noisy environments [abstract] |
I. Agranat |
2012 |
1 |
25 |
|
One-Year Characterization of Sea Ambient Noise in a Coastal Marine Protected Area: a Management Tool for Inshore Marine Protected Areas |
Antonio Codarin, Maurizio Spoto and Marta Picciulin |
2008 |
1-3 |
24-26 |
|
Techniques for studying the spatio-temporal distribution of animal vocalizations in tropical wet forest |
Hammer, Ø. & Barrett, N. |
2001 |
1 |
21-35 |
|
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 |
|
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 |
|
Minidisc recorders versus audiocassette recorders: a performance comparison |
D. M. Logue, D. E. Gammon & M. C. Baker |
2005 |
1 |
15-33 |
|
Towards an Automated Acoustic Detection System for Free-ranging Elephants |
Matthias Zeppelzauer, Sean Hensman, Angela S. Stoeger |
2015 |
1 |
13-29 |
|
An automatic acoustic response system for behavioural studies of duetting insects |
T. J. Hammond, W. J. Bailey & G. R. Hammond |
2003 |
1 |
3-14 |
|
Using Songs To Identify Individual Mexican Antthrush Formicarius moniliger: Comparison of Four Classification Methods |
Alexander N. G. Kirschel, Dent A. Earl, Yuan Yao, Ivan A. Escobar, Erika Vilches, Edgar E. Vallejo & Charles E. Taylor |
2009 |
1-2 |
1-20 |
|
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 |
|
A field test of the accuracy of a passive acoustic location system |
J. L. Bower & C. W. Clark |
2005 |
1 |
1-14 |
|
Parselmouth for bioacoustics: automated acoustic analysis in Python |
Yannick Jadoul, Bart de Boer & Andrea Ravignani |
2024 |
1 |
1-19 |
|
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 |
D. J. Mennill |
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 |
|
|
Combining audio and non-audio inputs in evolved neural networks for ovenbird classification |
Sergio Poo Hernandez, Vadim Bulitko & Erin Bayne |
In press |
|
|
