Title: Automatic detection of rare birds from audio recordings
The Great Smoky Mountains National Park is home to a large number of rare bird species, but assessing the distribution and population sizes of these species is problematic and time-consuming, precisely because of their rarity. Automated equipment that can detect and identify the calls and songs of rare birds would allow park staff to quantify and localize their presence, and plan management accordingly. In this project, students will develop signal processing algorithms to detect and identify the calls of rare species automatically, and then test these algorithms on unattended 24 hour recordings from the Park itself.
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