10 citations · 11 across the 2 of their papers we have counts for
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eess.AS2019★ 10 cited
Addressing Ambiguity of Emotion Labels Through Meta-Learning
Takuya Fujioka, Dario Bertero, Takeshi Homma +1
Emotion labels in emotion recognition corpora are highly noisy and ambiguous, due to the annotators' subjective perception of emotions. Such ambiguity may introduce errors in autom…
cs.CL2019★ 1 cited
Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
Dario Bertero, Onno Kampman, Pascale Fung
We propose an end-to-end affect recognition approach using a Convolutional Neural Network (CNN) that handles multiple languages, with applications to emotion and personality recogn…