In ecology, changes in environmental conditions are often closely linked to shifts in species
diversity. This relationship can be investigated by analyzing avian vocalizations, which are …

This work addresses the cross-corpora generalization issue for the low-resourced spoken
language identification (LID) problem. We have conducted the experiments in the context of …

Audio classification is a challenging task that requires categorizing audio data based on its
content or characteristics. Existing approaches for audio classification rely either on …

This paper presents our solution for the Requests Sub-challenge of the ACM Multimedia
2023 Computational Paralinguistics Challenge. Drawing upon the framework of self …

Affective computing is gaining increased interest by the scientific community in the last
decades with the acoustic modality playing a central role. This paper presents an extensive …

Virtual reality (VR) is increasingly capable and inexpensive, and VR devices have become
indispensable in many domains, such as gaming, videoconferencing, education, and …

Audio classification and other fields of pattern recognition have developed at an astounding
pace due to advances in machine learning. The availability of training data, especially …