Here's how scientists are using machine learning to listen to fish

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Here's how scientists are using machine learning to listen to fish
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New research shows how automation can make it increasingly easy to eavesdrop on the fish making the sounds and uncover how their environment impacts them. Via InsideScience.

STOCK IMAGE/Getty ImagesAs the sun rises over the island of American Samoa, a chorus of animal voices drifts upward. They're not the calls of birds, though -- the purrs, clicks and groans are coming from under the water. New research shows how automation can make it increasingly easy to eavesdrop on the fish making the sounds and uncover how their environment impacts them.

Munger was given a hard drive with 18,000 hours of sound from a 12-station hydrophone area maintained by NOAA and the National Park Service in American Samoa -- an amount of data that seemed impossible to sort through, she said."It's like if someone handed you a weeklong mixtape, you're never going to listen to it all."

"To me, [the fish calls] are very distinct and chock-full of personality," she said, adding that damselfish make this particular sound by snapping their pharyngeal teeth together and boosting the sound through their swim bladders. The technical term is a pulse train, and it's used in mating.A Parrotfish looks at the camera in a coral reef in Rarotonga, Cook Islands.

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