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Leveraging AI models, neuroscientists parse birdsongs to better understand human speech
A new AI tool from the Knight Campus, called TweetyBERT, can automatically segment and classify the songs of canaries, and it might change our understanding of how the brain learns and processes language.
To understand how humans and other animals learn, organize, and produce complex vocalizations, neuroscientists have long studied canary song birds, who have incredibly detailed and structured songs that they can re-learn over time. For decades, scientists have manually decoded canary songs syllable by syllable, but Tim Gardner, an associate professor of bioengineering at the Knight Campus, believed a computer could do it better.
