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techniques - index of articles

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Title Authors Year Issue Pagessort descending
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
AURITA: an affordable, autonomous recording device for acoustic monitoring of audible and ultrasonic frequencies Richard D. Beason, Rüdiger Riesch & Julia Koricheva 2019 4
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
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
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
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 In press
Vocalizations of the Ryukyu Scops Owl: individually recognisable and stable Masaoki Takagi In press
A telemetry study to discriminate between home range and territory size in Tawny Owls Gorka Burgos & Iñigo Zuberogoitia In press
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 In press
The perceptual effects of manipulating nonlinear phenomena in synthetic nonverbal vocalizations Andrey Anikin In press
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 In press
Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks In press
Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring In press
Pinpointing the position of flying songbirds with a wireless microphone array: three-dimensional triangulation of warblers on the wing In press
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
A field test of the accuracy of a passive acoustic location system J. L. Bower & C. W. Clark 2005 1 1-14
An automatic acoustic response system for behavioural studies of duetting insects T. J. Hammond, W. J. Bailey & G. R. Hammond 2003 1 3-14
Towards an Automated Acoustic Detection System for Free-ranging Elephants Matthias Zeppelzauer, Sean Hensman, Angela S. Stoeger 2015 1 13-29
Minidisc recorders versus audiocassette recorders: a performance comparison D. M. Logue, D. E. Gammon & M. C. Baker 2005 1 15-33
Techniques for studying the spatio-temporal distribution of animal vocalizations in tropical wet forest Hammer, Ø. & Barrett, N. 2001 1 21-35
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
Classification algorithms for species identification in noisy environments [abstract] I. Agranat 2012 1 25
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
A comparison of the performance of broad-band and narrow-band bat detectors in two different habitat types S. Parsons 1996 1 33-43
Bioacoustic monitoring of nocturnal birds in wetland areas [abstract] Frommolt, K-H & Tauchert, K-H 2012 1 34
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
An automatic system for detecting and classifying the vocalisations of harbour porpoises Gillespie, D. & Chappell, O. 2002 1 37-61
Improved measurement algorithms for primate vocal communication research, with application to Lemur catta [abstract] Janzen, R E & Bolt, L M 2012 1 38-39
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
Sound analysis and synthesis using an Amiga micro-computer Richard, J.-P. 1991 1 45-60
Acoustic monitoring of populations at thermal extremes of midwife toads in Iberia: phenology, chorus recruitment, and relation with temperature [abstract] Llusia, D , Márquez, R , Arias, A , Pérez, M , Beltrán, J F , Benítez, M , Amaral, J P , Oliveira, J O & Castro, M J 2012 1 45
Bloodhound, a tool based on the chirplet transform for the analysis of wolf chorus howls recordings [abstract] Palacios, V., Llaneza, L., Dugnol, B., Fernández, C., Galiano, G., Velasco, J . 2012 1 50
Call-independent individual identification in birds E. J.S. Fox, J. D. Roberts & M. Bennamoun 2008 1 51-67
A simple method for recording low-amplitude sounds: application to the study of the courtship song of the fruit fly Drosophila melanogaster T. Aubin, F. Rybak & B. Moulin 2000 1 51-67
Identifying individual wild Eastern grey wolves (Canis lupus lycaon) using fundamental frequency and amplitude of howls Holly Root-Gutteridge, Martin Bencsik, Manfred Chebli, Louise K. Gentle, Christopher Terrell-Nield, Alexandra Bourit and Richard W. Yarnell 2014 1 55-66
Automatic recognition of bird individuals on an open set using as-is recordings Ladislav Ptacek, Lukas Machlica, Pavel Linhart, Pavel Jaska & Ludek Muller 2016 1 55-73
The soundscape of Arctic charr spawning grounds in lotic and lentic environments: can Passive Acoustic Monitoring be used to detect spawning activities? Marta Bolgan, Joanne O’Brien, Emilia Chorazyczewska, Ian J. Winfield, Peter McCullough & Martin Gammell 2018 1 57-85
Assessing the effect of sound file compression and background noise on measures of acoustic signal structure Marcelo Araya-Salas, Grace Smith-Vidaurre & Michael Webster 2019 1 57-73
'Sense and Census ability'- Reliability of psychoacoustic sampling as a method to monitor cricket species diversity [abstract] Swati, D; Manjari, J; Balakrishnan, R. 2012 1 57
Optimizing models of dolphin auditory sensitivity using evolutionary computation Houser, D.S., Helweg, D.A., Moore, P.W.B. & Chellapilla, K. 2001 1 57-78


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