To enhance the speech signal in noisy environments, a Forward Blind Source Separation
(FBSS) structure is frequently employed. This structure retrieves speech signal at the output …

This thesis explores the use of deep neural networks for sound event detection in the
medical industry. Specifically, the goal is to to detect the ongoing ventilation on newborn …

General characteristics of the work. The proposed dissertation researches the development
of a UAV detection system based on the recognition of acoustic signatures. The recognition …

The process of audio classification involves categorizing audio signals into predefined
classes based on their acoustic characteristics. Deep learning techniques have played a …

Dealing with background noise is a challenging task in audio signal processing, negatively
impacting algorithm performance and system robustness. In this paper, we propose a simple …