With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …

Automated bioacoustics classification has received increasing attention from the research
community in recent years due its cross-disciplinary nature and its diverse application …

Simple Summary In the application of artificial intelligence and advanced sound
technologies in animal sound classification, certain challenges are still faced, such as the …

Bird's call often contains distinctive information for discriminating different species. Previous
studies have investigated various features for bird sound classification. This paper proposes …

Bird song recognition plays an important function in ecosystem balance monitoring,
biodiversity detection, and biodiversity conservation. Due to the complexity of the natural …

The bird classifier is a system that is equipped with an area machine learning technology
and uses a machine learning method to store and classify bird calls. Bird species can be …

To protect tropical forest biodiversity, we need to be able to detect it reliably, cheaply, and at
scale. Automated detection of sound producing animals from passively recorded …

Deep learning has celebrated resounding successes in many application areas of relevance
to the Internet of Things (IoT), such as computer vision and machine listening. These …

Passive acoustic monitoring (PAM) offers many advantages comparing with other survey
methods and gains an increasing use in terrestrial ecology, but the massive effort needed to …

Automatically detecting the calls of species of interest in audio recordings is a common but
often challenging exercise in ecoacoustics. This challenge is increasingly being tackled with …