Machine Learning Reveals That Elephant Choruses Encode Behavior

Summary

Image 1. A matriarch leads her family across the dry lake bed in Amboseli, Kenya. Such a movement is typically preceded by single and chorused Let’s go and Cadenced rumbles as individuals initiate and negotiate a plan of action. Image Credit: ElephantVoices . Key Takeaways Around 60% of elephant rumbles occur in overlapping choruses , yet these multi-caller exchanges have been far less studied than isolated calls. In a new study published in Scientific Reports and authored in collaboration with ElephantVoices , we analyzed elephant choruses as they naturally occur, without needing to separate each call . We could predict broad behavioral context from the choruses much better than chance. We also identified vocal convergence during some coordinated interactions, with some rumbles becoming progressively more acoustically similar as an exchange unfolded. Elephants face habitat loss and human-wildlife conflict across their range. Understanding how elephants communicate, make decisions, and coordinate their movements could help protect key habitats and corridors , ease human-elephant conflict , and support people and elephants living alongside one another. The Challenge of Studying Elephant Choruses In many social contexts, including when elephants greet each other after time apart, several animals may rumble at once. Some of those low-frequency, overlapping sounds even extend into the infrasonic range below human hearing. Roughly 60% of elephant rumbles occur inside choruses of two or more voices. Yet these exchanges have received far less scientific attention than isolated calls because they are difficult to analyze. That means a large part of elephants’ natural communication has not been studied. Instead of trying to pull each individual voice apart, we wanted to know whether we could predict behavior from choruses as a whole. In a new study published in Scientific Reports , working with ElephantVoices and Amboseli Trust for Elephants , we used machine learning to extract behavioral information directly from complex, overlapping elephant choruses. Listening to the Whole Chorus We analyzed 903 rumbles from adult females recorded between 1986 and 2022. The recordings come from one of the most closely studied elephant populations in the world. Since the 1970s, researchers from the Amboseli Elephant Research Project have followed these families across generations…