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.