3 papers
eess.AS2023
SER_AMPEL: a multi-source dataset for speech emotion recognition of Italian older adults
Alessandra Grossi, Francesca Gasparini
In this paper, SER_AMPEL, a multi-source dataset for speech emotion recognition (SER) is presented. The peculiarity of the dataset is that it is collected with the aim of providing…
cs.LG2023
A multi-artifact EEG denoising by frequency-based deep learning
Matteo Gabardi, Aurora Saibene, Francesca Gasparini +2
Electroencephalographic (EEG) signals are fundamental to neuroscience research and clinical applications such as brain-computer interfaces and neurological disorder diagnosis. Thes…
cs.HC2023
An experimental protocol to access immersiveness in video games
Marika Malaspina, Jessica Amianto Barbato, Marco Cremaschi +3
In the video game industry, great importance is given to the experience that the user has while playing a game. In particular, this experience benefits from the players' perceived…