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Could tech help us translate wolf howls?

Part 2 of the TED Radio Hour episode Can curiosity save the wild?

Computational linguist Jeff Reed figured out how to eavesdrop on wolves in the wild. But he needed help from AI to separate the signal from the noise, and start to decode what each howl means.

About Jeffrey Reed

Jeffrey Reed has a Ph.D. in ancient languages and spent three decades in Silicon Valley — building machines that could replicate human language. A few years ago he moved back to his hometown on the outskirts of Yellowstone National Park and began using AI and bioacoustics to isolate, record, and interpret the sounds that wolves make in the wild. He co-founded The Cry Wolf Project, the world's largest bioacoustics study of wild wolves. He also co-founded Grizzly Systems, a company that makes the technology required for monitoring wildlife. His book on wolf communication is forthcoming from Little, Brown and Company.

This segment of the TED Radio Hour was produced by Phoebe Lett and edited by Sanaz Meshkinpour. You can follow us on Facebook @TEDRadioHour and email us at TEDRadioHour@npr.org.

Web Resources

Related TED Talk: Can we learn to talk to sperm whales?

Related TED Topic: Biodiversity

Related TED Talk: How I imitate nature's voices

Copyright 2026 NPR

Manoush Zomorodi
Manoush Zomorodi is the host of TED Radio Hour.
Phoebe Lett
Sanaz Meshkinpour
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