The goal of this project is to use audio recordings and corresponding annotations to build an automatic classifier for calls from four different species of blue whales, and to estimate the total number of calls from each population in the…
Multi-species bioacoustic classification using deep learning algorithms. With audio recordings collected from rainforests in Puerto Rico, we build a deep learning model that combines transfer learning and pseudo-labeling as a data augmentation technique to: 1) train a deep convolutional neural…
Using machine learning to detect beluga whale calls in hydrophone recordings. Of the five populations of beluga whales in Alaska, the Cook Inlet population is the smallest and has declined by about seventy-five percent since 1979. Listed as an endangered…
