Enrolment-based personalisation for improving individual-level fairness
in speech emotion recognition
Enrolment-based personalisation for improving individual-level fairness
in speech emotion recognition
The expression of emotion is highly individualistic. However, contemporary speech emotion recognition (SER) systems typically rely on population-level models that adopt a `one-size-fits-all' approach for predicting emotion. Moreover, standard evaluation practices measure performance also on the population level, thus failing to characterise how models work across different speakers. In the …