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

Animals produce sounds for diverse biological functions such as defending territories,
attracting mates, deterring predators, navigation, finding food and maintaining contact with …

More than a third of elderly fall each year in the United States. It has been shown that the
longer the lie on the floor, the poorer is the outcome of the medical intervention. To reduce …

Autonomous acoustic recorders are an increasingly popular method for low‐disturbance,
large‐scale monitoring of sound‐producing animals, such as birds, anurans, bats, and other …

In real-world applications such as those for speech and audio, there are signals that are
nonstationary but can be modeled as being stationary within local time frames. Such signals …

The primary purpose for pursuing this research is to present a modular approach that
enables reliable automatic bird species identification on the basis of their sound emissions …

Automatic identification of bird species by their vocalization is studied in this paper. Bird
sounds are represented with two different parametric representations:(i) the mel-cepstrum …

Deep learning models have improved cutting-edge technologies in many research areas,
but their black-box structure makes it difficult to understand their inner workings and the …

Novelty detection in the machine learning context refers to identifying unknown/novel data,
ie, data which vary greatly from the ones that the system was trained with. This paper …

This paper addresses the problem of direction-of-arrival (DOA) estimation of quasi-stationary
signals, which finds applications in array processing of speech and audio. By studying the …