AI decodes wolf howls: 500K hours of Yellowstone audio analyzed by models
aza · x · 2026-10-31
Earth Species Project spotlights wolf vocalization research in Yellowstone by The Cry Wolf Project.
- Jeffrey Reed and PhD candidate Jeremy SunderRaj study whether individual wolves can be identified by voice and what calls reveal about social behavior, building on decades of Yellowstone Wolf Project records.
- Regional recorders collect 500,000 hours of audio yearly, making manual analysis impossible.
- They use GrizCam Desktop, built by Reed's Grizzly Systems, applying AI models from Earth Species Project and Google DeepMind to detect and classify wolf vocalizations for conservation research.
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