Estimating Florida manatee (Trichechus manatus latirostris) abundance using passive acoustic methods

Using transfer learning with a convolutional neural network to detect African manatee (Trichechus senegalensis) vocalizations

African manatees (Trichechus senegalensis) are vulnerable, understudied, and difficult to detect. Areas where African manatees are found were acoustically sampled and deep learning techniques were used to develop the first African manatee vocalization detector. A transfer learning approach was used to develop a convolutional neural network (CNN) using a pretrained CNN (GoogLeNet). The network was highly successful, even when applied to recordings collected from a different location. Vocal detections were more common at night and tended to occur within less than 2 min of one another.