Bioacoustic Research

Bioacoustic research uses sound recordings to study animal behavior, ecology, and conservation, focusing on automated analysis of large, often sparsely labeled datasets. Current research heavily utilizes deep learning, particularly transformer models and convolutional neural networks, often employing transfer learning and self-supervised techniques to overcome data limitations and improve efficiency. These advancements enable more effective monitoring of biodiversity, facilitating improved conservation efforts and ecological assessments across various environments, from marine ecosystems to terrestrial habitats.