Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

Recent years have seen a dramatic rise in the use of passive acoustic monitoring (PAM) for
biological and ecological applications, and a corresponding increase in the volume of data …

The study of non-human animals' communication systems generally relies on the
transcription of vocal sequences using a finite set of discrete units. This set is referred to as a …

Open audio databases such as Xeno-Canto are widely used to build datasets to explore bird
song repertoire or to train models for automatic bird sound classification by deep learning …

Vocalization is a widespread social behavior in vertebrates that can affect fitness in the wild.
Although many vocal behaviors are highly conserved, heritable features of specific …

Studying the vocalisations of wild animals can be a challenge due to the limitations of
traditional computational methods, which often are time‐consuming and lack reproducibility …

Songbirds and humans share the ability to adaptively modify their vocalizations based on
sensory feedback. Prior studies have focused primarily on the role that auditory feedback …

Songs constitute a complex system of vocal signals for inter-individual communication in
songbirds. Here, we elucidate the flexibility which songbirds exhibit in the organizing and …

Vocalizations in animals, particularly birds, are critically important behaviors that influence
their reproductive fitness. While recordings of bioacoustic data have been captured and …

Complex skills like speech and dance are composed of ordered sequences of simpler
elements, but the neuronal basis for the syntactic ordering of actions is poorly understood …