12 citations · 23 across the 8 of their papers we have counts for
3 papers · 1 filter
How unitizing affects annotation of cohesion
Eleonora Ceccaldi, Nale Lehmann-Willenbrock, Erica Volta +3
This paper investigates how unitizing affects external observers' annotation of group cohesion. We compared unitizing techniques belonging to these categories: interval coding, con…
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkman
To train machine learning algorithms to predict emotional expressions in terms of arousal and valence, annotated datasets are needed. However, as different people perceive others'…
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
As different people perceive others' emotional expressions differently, their annotation in terms of arousal and valence are per se subjective. To address this, these emotion annot…