After the inception of emotion recognition or affective computing, it ha...
End-to-end models have gradually become the main technical stream for vo...
We propose a novel Dynamic Restrained Uncertainty Weighting Loss to
expe...
The COVID-19 outbreak was announced as a global pandemic by the World He...
Despite remarkable advances in emotion recognition, they are severely
re...
Despite the increasing research interest in end-to-end learning systems ...
One of the frontier issues that severely hamper the development of autom...
Time-continuous emotion prediction has become an increasingly compelling...
Over the past few years, adversarial training has become an extremely ac...
Acoustic Event Classification (AEC) has become a significant task for
ma...
Eliminating the negative effect of non-stationary environmental noise is...