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Cornell Researcher Builds Groundbreaking Machine Learning Toolkit For Bioacoustics

A recent breakthrough has been made in bio-acoustic deep learning techniques a method for automated detection of animal sounds at Cornell’s K. Lisa Yang Center for Conservation Bioacoustics. Dr. Shyam Madhusudhana, a postdoctoral researcher in the Lab of Ornithology, built a toolkit enabling bio-acousticians to create complex audio recognition models with just a few lines of code.

Machine learning bests humans in whale call detection

In a watershed “human vs. machine” moment, a machine learning algorithm has detected tricky blue whale calls in sound recordings with greater accuracy and speed than human experts.

Machine learning bests humans in whale call detection

Machine learning bests humans in whale call detection
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