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Updated: Aug 15, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
Using transfer learning with a convolutional neural network to detect African manatee (Trichechus senegalensis)
Athena Rycyk1, Dunsin Abimbola Bolaji2, Clinton Factheu3
1New College of Florida, Sarasota, Florida 34243, USA.
Abstract:
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.

