DeepSqueak device identifies marine mammal calls

DeepSqueak tool identifies marine mammal calls #ASA182
At the 182nd ASA Meeting, Elizabeth Ferguson, from Ocean Science Analytics, will describe how DeepSqueak, a deep studying device, can classify underwater acoustic indicators. Credit: Ferguson

Lurking beneath the ocean’s floor, marine mammals use sound for navigation, prey detection, and a variety of pure behaviors. Passive acoustic knowledge from underwater environments can present helpful data on these animals, resembling their presence or absence inside an space, their density and abundance, and their vocal response to anthropogenic noise sources.

As the dimensions and variety of acoustic datasets enhance, precisely and shortly matching the bioacoustics indicators to their corresponding sources turns into tougher and vital. This is very troublesome in noisy, pure acoustic environments.

Elizabeth Ferguson, from Ocean Science Analytics, will describe how DeepSqueak, a deep studying device, can classify underwater acoustic indicators on the 182nd Meeting of the Acoustical Society of America throughout her presentation, “Development of deep neural networks for marine mammal call detection using an open-source, user friendly tool.” The session will happen May 23 at 11:25 a.m. Eastern U.S. as a part of the convention on the Sheraton Denver Downtown Hotel.

Spectrograms present how acoustic indicators of various frequencies fluctuate with time. They seem like warmth maps, with brighter areas indicating greater sound depth at that frequency and time. DeepSqueak makes use of deep neural community picture recognition and classification strategies to find out the vital options inside spectrograms, then match these options to particular sources.

“Although we used DeepSqueak to detect underwater sounds, this user-friendly, open source tool would be useful for a variety of terrestrial species,” stated Ferguson. “The capabilities of call detection extend to frequencies below the ultrasonic sounds it was originally intended for. Due to this and the capability of DeepSqueak to detect variable call types, development of neural networks is possible for many species of interest.”

DeepSqueak was initially developed to categorise ultrasound indicators from rodents, however its neural community framework permits the method to adapt to detect sounds at different frequencies. Ferguson and her crew used the tactic and knowledge from hydrophones on the Ocean Observatories Initiative’s Coastal Endurance Array to detect humpback whales, delphinids, and fin whales, which have extremely variable calls with a variety of frequencies.

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DeepSqueak device identifies marine mammal calls (2022, May 23)
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