Conservationists are increasingly using autonomous acoustic recorders to determine the
presence/absence and the abundance of bird species. Unlike humans, these recorders can …

Automated signal recognition software is increasingly used to extract species detection data
from acoustic recordings collected using autonomous recording units (ARUs), but there is …

Passive acoustic sensing has emerged as a powerful tool for quantifying anthropogenic
impacts on biodiversity, especially for echolocating bat species. To better assess bat …

Bats are a species-rich order of mammals providing key ecosystem services. Because bats
are threatened by human action and also serve as important bioindicators, monitoring their …

We compared the ability of three machine learning algorithms (linear discriminant analysis,
decision tree, and support vector machines) to automate the classification of calls of nine …

Measuring biodiversity is a challenging task for research in taxonomy, ecology and
conservation. Biodiversity is commonly measured using metrics related to species richness …

Today's acoustic monitoring devices are capable of recording and storing tremendous
amounts of data. Until recently, the classification of animal vocalizations from field …

Acoustic emissions of animals serve communicative purposes and most often contain
species-specific and individual information exploitable to listeners, rendering bioacoustics …

Research into automated systems for detecting and classifying marine mammals in acoustic
recordings is expanding internationally due to the necessity to analyze large collections of …

Bats are an important component of mammalian biodiversity and fill such a wide array of
ecological niches that they may offer an important multisensory bioindicator role in …