Animal acoustic communication often takes the form of complex sequences, made up of
multiple distinct acoustic units. Apart from the well‐known example of birdsong, other …

Computational ecoacoustics has seen significant growth in recent decades, facilitated by the
reduced costs of digital sound recording devices and data storage. This progress has …

Biodiversity monitoring has become a critical task for governments and ecological research
agencies for reducing significant loss of animal species. Existing monitoring methods are …

Researchers have a natural tendency to classify biological systems into categories. For
example, organisms can be classified based on biome, ecosystem, taxon, phylogeny, niche …

Animal vocalizations play an important role in individual recognition, kin recognition, species
recognition, and sexual selection. Despite much work in these fields done on birds virtually …

Automatic methods of classification of animal sounds offer many advantages including
speed and consistency in processing massive quantities of data. Calculations have been …

Research into acoustic recognition systems for animals has focused on call-dependent and
species identification rather than call-independent and individual identification. Here we …

The most common method used to determine the identity of an individual bird is the capture-
mark-recapture technique. The method has several major disadvantages, eg some species …

The study of acoustic communication in animals often requires not only the recognition of
species specific acoustic signals but also the identification of individual subjects, all in a …

Evolution of bird vocalizations is subjected to selection pressure related to their functions.
Passerine bird songs are also under a neutral model of evolution because of the learning …