Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …

A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

Assessing the presence and abundance of birds is important for monitoring specific species
as well as overall ecosystem health. Many birds are most readily detected by their sounds …

Passive acoustic monitoring is a non‐invasive tool for automated wildlife monitoring. This
technique has several advantages and addresses many of the biases related to traditional …

Autonomous sound recording techniques have gained considerable traction in the last
decade, but the question remains whether they can replace human observation surveys to …

Wildlife monitoring is essential for conservation science and data‐driven decision‐making.
Tropical forests pose a particularly challenging environment for monitoring wildlife due to the …

Automated recognition software is paramount for effective passive acoustic monitoring.
BirdNET is a free and recently developed bird sound recognizer. I performed a literature …

The use of passive acoustic monitoring in wildlife ecology has increased dramatically in
recent years as researchers take advantage of improvements in autonomous recording units …

Deep learning algorithms have improved predictive model performance in a variety of
disciplines because of their ability to approximate complex functions. However, the amount …

Ecological resources are an important material foundation for the survival, development, and
self-realization of human beings. In-depth and comprehensive research and understanding …