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Preliminary Evidence for the Use of Sound to Decrease Losses of Aquatic Organisms at a Power Plant Cooling Water Intake |
Arthur N. Popper, John Balletto, Kenneth Strait, Fred Winchell, Alan W. Wells and Maureen Vaskis |
2002 |
2-3 |
306-307 |
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Spectrographic analysis of animal vocalizations: implications of the "uncertainty principle" |
Beecher, M.D. |
1988 |
2-3 |
187-208 |
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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 |
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Designing Experiments to Test for Behavioural Effects of Sound |
Peter K. McGregor |
2008 |
1-3 |
336-338 |
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Metrics |
Charles R. Greene, Jr |
2008 |
1-3 |
116-118 |
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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 |
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A Proposed Method to Assess Physical Injury to Fishes from Underwater Sound Produced During Pile Driving |
David P. Woodbury and John H. Stadler |
2008 |
1-3 |
289-291 |
|
Assessing the Impact of Underwater Noise on Marine Fauna: a Software Tool |
Scott A. Carr and Christine Erbe |
2008 |
1-3 |
241-243 |
|
Elaboration of the NRC Population Consequences of Acoustic Disturbance (PCAD) Model |
Douglas Wartzok and Peter Tyack |
2008 |
1-3 |
286-288 |
|
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 |
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A software bird call detector and its application to automated playback experiments |
Okanoya, K. & Kimura, T. |
1993 |
1-2 |
117-122 |
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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 |
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Side-bands artefact and digital sound processing |
J. Vielliard |
1993 |
1-2 |
159-162 |
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Sound production and sound emission in seven species of European Tettigoniids. Part III. Determination of the mechanism of sound production using the cepstrum analysis |
Keuper, A. |
1989 |
4 |
287-306 |
|
A system for describing bird song units |
Thompson, N.S., LeDoux, K. & Moody, K. |
1994 |
4 |
267-279 |
|
A computer-based technique for the quantitative analysis of animal sounds |
Evans, M.R. & Evans, J.A. |
1994 |
4 |
281-290 |
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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 |
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Equipment for recording the sounds of birds and other animals |
R. Ranft |
1991 |
4 |
331-334 |
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New methods for recording low-amplitude signals. Application to the analysis of the courtship song of Drosophila genus [abstract] |
T. Aubin |
1996 |
4 |
297-298 |
|
Recording wildlife in tropical rainforest |
J. Vieilliard |
1993 |
4 |
305-311 |
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Bioacoustic survey of cicadas [abstract] |
M. Gogala & A. V. Popov |
1996 |
4 |
300-301 |
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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 |
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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 |
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Distinguishing individual male wild turkeys by analyzing vocalizations using a personal computer |
Dahlquist, F.C., Schemnitz, S.D. & Flachs, B.K. |
1990 |
4 |
303-316 |
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Recent Bioacoustical Publications, 1999 and earlier. Part II: mammals-general |
P. Hansen |
2001 |
4 |
297-334 |
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Monitoring biodiversity through natural sound diversity [abstract] |
Teruyo Oba |
1996 |
4 |
303 |
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Dual channel real-time analysis on a PC [abstract] |
G. Pavan & M. Manghi |
1996 |
4 |
304 |
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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 |
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Computer-aided analysis of acoustic parameters in animal vocalizations |
L. Schrader & K. Hamerschmidt |
1997 |
4 |
247-265 |
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Sound localisation in a habitat: An analytical approach to quantifying the degradation of directional cues |
A. Michelson & K. Rohrseitz |
1997 |
4 |
291-313 |
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A pilot study for recognition of individual nightjars [abstract] |
M. Rebbeck |
1996 |
4 |
306 |
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Computer-aided analysis of acoustic parameters: new possibilities of signal analysis [abstract] |
L. Schrader & K. Hammerschmidt |
1996 |
4 |
307 |
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Analysis of complex variation: dichotomous sorting of predator-elicited calls of the Florida scrub jay |
Elowson, A.M. & Hailman, J.P. |
1991 |
4 |
295-320 |
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Avisoft-Sonagraph Pro - sonagraphic analysis under Windows [abstract] |
R. Specht |
1996 |
4 |
308 |
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Computer-aided acoustic analysis of complex bird calls [abstract] |
J. Böhner & K. Hammerschmidt |
1996 |
4 |
313-314 |
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Which Qs to choose: questions of quality in Bioacoustics? |
H. C. Bennet-Clark |
1999 |
4 |
351-359 |
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Echolocation signals of bats – a retrospective |
David Pye |
2021 |
4 |
487-497 |
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Classification of diverse call types using cluster analysis techniques |
Terhune, J.M., Burton, H. & Green, K. |
1993 |
4 |
245-258 |
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Tracking European bat species with passive acoustic directional monitoring |
David Wallis & Morten Elmeros |
2021 |
4 |
418-436 |
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Automated Cataloguing of American silver perch (Bairdiella chrysoura) calls using machine learning |
DelWayne R. Bohnenstiehl |
2023 |
4 |
453-473 |
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Is fidelity futile? The "true" signal is illusory, especially with ultrasound |
Pye, J.D. |
1993 |
4 |
271-286 |
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The acoustic space of pain: Cries as indicators of distress recovering dynamics in preverbal infants |
Alexis Koutseff, David Reby, Olivier Martin, Florence Levrero, Hugues Patural & Nicolas Mathevon |
2018 |
4 |
313-325 |
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A quantitative analysis of individuality in barnacle goose loud calls |
Hausberger, M., Richard, J.P., Black, J.M. & Quris, R. |
1994 |
4 |
247-260 |
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Discriminating individual big brown bat (Eptesicus fuscus) sonar vocalizations in different recording situations |
S.C. Burnett, K.A. Kazial & W. Mitchell Masters |
2001 |
3 |
189-210 |
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A non-intrusive tracking technique for dolphins interacting with a pelagic trawl using a sparse array of hydrophones [abstract] |
P. R. Connelly, B. Woodward and A. D. Goodson |
1998 |
3 |
228 |
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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 |
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Documentation standards for wildlife sound recordings |
R. Kettle & J. Vielliard |
1991 |
3 |
235-238 |
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Concurrent recording of dolphin behaviours, frequency-modulated tones, and pulsed vocalisations (including echolocation clicks) underwater with a swimmer-propelled system [abstract] |
Kathleen M. Dudzinski and D. Newborough |
1998 |
3 |
229 |
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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 |
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Measuring the sound pressure level of the song of the screaming piha Lipaugus vociferans: one of the loudest birds in the world? |
E. Nemeth |
2004 |
3 |
225-228 |
