Automatic standardized processing and identification of tropical bat calls using deep learning approaches

(Uploaded by Plazi for the Bat Literature Project) Consistent and comparable metrics to automatically monitor biodiversity across the landscape remain a goldstandard for biodiversity research, yet such approaches have frequently been limited to a very small selection of species for which visual approaches (e.g., camera traps) make continuous monitoring possible. Acoustic-based methods have been widely applied in the monitoring of bats and some other taxa across extended spatial scales, but are have yet to be applied to diverse tropical communities.