Results 51 to 60 of about 15,200 (213)
Automatic Classification and Speaker Identification of African Elephant (\u3cem\u3eLoxodonta africana\u3c/em\u3e) Vocalizations [PDF]
, 2005 A hidden Markov model (HMM) system is presented for automatically classifying African elephant vocalizations. The development of the system is motivated by successful models from human speech analysis and recognition.
Clemins, Patrick J. +3 more
core +1 more source
Acoustic model adaptation for ortolan bunting (Emberiza hortulana L.) song-type classification [PDF]
, 2008 Automatic systems for vocalization classification often require fairly large amounts of data on which to train models. However, animal vocalization data collection and transcription is a difficult and time-consuming task, so that it is expensive to ...
Johnson, Michael T. +2 more
core +2 more sources
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean
Remote Sensing in Ecology and Conservation, EarlyView.The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu +5 more
wiley +1 more source
Wildlife Biology, EarlyView.Multiple management strategies exist to combat bird damage to agriculture. We explored combining two tools, drones as frightening devices and an avian repellent, to assess effectiveness of an integrated method to deter large flocks on complex landscapes. We evaluated the ability of a spraying drone (DJI Agras MG‐1P) deploying Avian Control (i.e. active
Jessica L. Duttenhefner +2 more
wiley +1 more source
Long-Distance Counter Calling in Maned Wolves: Friends or Foes?
Animals, 2022 Maned wolves (Chrysocyon brachyurus) are monogamous and display biparental care for their young, although adults rarely spend time in close proximity. To better understand vocal interactions of maned wolves over long-distances, we passively recorded >10 ...
Luane S. Ferreira +7 more
doaj +1 more source
, 2016 Sea turtles spend much of their life in aquatic environments, but critical portions of their life cycle, such as nesting and hatching, occur in terrestrial environments, suggesting that it may be important for them to detect sounds in both air and water.
Eckert, Scott A. +4 more
core +3 more sources
Enhancing AIS to Improve Whale-Ship Collision Avoidance and Maritime Security [PDF]
, 2009 Whale-ship strikes are of growing worldwide concern due to the steady growth of commercial shipping. Improving the current situation involves the creation of a communication capability allowing whale position information to be estimated and exchanged ...
Fall, Kevin +2 more
core +2 more sources
Wildlife Biology, EarlyView.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
, 2019 This paper proposes multiscale convolutional neural network (CNN)-based deep metric learning for bioacoustic classification, under low training data conditions.
Nigam, Aditya +3 more
core +1 more source
Beluga whale (Delphinapterus leucas) vocalizations and call classification from the eastern Beaufort Sea population [PDF]
, 2015 Funding was provided by the Bureau of Ocean Energy Management under InterAgency Agreement M09PG00016. E.C.G. was supported by a National Research Council (National Academy of Sciences) Postdoctoral Fellowship.Beluga whales, Delphinapterus leucas, have a ...
Berchok, Catherine +2 more
core +1 more source