INTERNATIONAL CENTER OF ARTIFICIAL INTELLIGENCE IN NATURAL ACOUSTICS
CIAN is the extension of the AI Chair ADSIL in Marine Bioacoustics 2020-2024 granted by AID DGA ANR. The International Center of Artificial Intelligence in Natural Acoustics is a gathering of researchers with a common interest in natural bioacoustics. By understanding the subtleties of the sound orchestration that surrounds us, we can gain valuable insights into animal behavior, ecological dynamics and even contribute to conservation efforts. At the center, we use cutting-edge technologies and innovative methodologies to capture, analyze and interpret bioacoustic data.
During the last five years, we extended our researches in several connected bioacoustical research domains, all sharing our core data sciences and AI methodologies and instrumentations that we synergistically co-develop to get insight natural acoustics intelligence
In our laboratory, we explore the intersection of acoustics and biology, presenting a multidisciplinary study focused on the detection, localization, and classification of animal sounds. Our advanced acoustics techniques, coupled with biological investigations, offer a nuanced understanding of various species behaviors. Employing cutting-edge acoustic detection methods and localization techniques, we try to precisely capture classify and pinpoint animal vocalizations.
By integrating machine learning for classification, we are able to distinguish different signals, revealing not only the acoustic intricacies of sounds but also correlating them with biological findings. This holistic approach provides a rich perspective on animal behaviors, contributing to valuable insights on both acoustics and biology. We are eager to share our findings across diverse journals, fostering collaboration and advancing the collective knowledge of the complex world of animal behaviors.
LAST PUBLICATIONS
Sara Vieira, Sandrine Gaillard, Renata Sousa-Lima and Hervé Glotin. 2025
Divergences and complementarities between eDNA versus passive acoustic marine mammal monitoring.
Ecological Informatics, 2025, 93, pp.103582.
#Journal Article
Justine Girardet, Hervé Glotin, Stéphane Chavin, Marion Poupard, Julie Guiderdoni and Véronique Sarano. 2025
Arctic diel and circadian acoustic pattern of Orcas, Fin, and Humpback whales revealed by deep learning from two months of continuous recordings.
Ecological Informatics, 2025, 93, pp.103564.
#Journal Article
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