Are you sure? Analysing Uncertainty Quantification Approaches for
Real-world Speech Emotion Recognition
Are you sure? Analysing Uncertainty Quantification Approaches for
Real-world Speech Emotion Recognition
Uncertainty Quantification (UQ) is an important building block for the reliable use of neural networks in real-world scenarios, as it can be a useful tool in identifying faulty predictions. Speech emotion recognition (SER) models can suffer from particularly many sources of uncertainty, such as the ambiguity of emotions, Out-of-Distribution (OOD) …