activity
20162019
most citedInvestigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction

25 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.CL2018★ 1 cited

GlobalTrait: Personality Alignment of Multilingual Word Embeddings

Farhad Bin Siddique, Dario Bertero, Pascale Fung

We propose a multilingual model to recognize Big Five Personality traits from text data in four different languages: English, Spanish, Dutch and Italian. Our analysis shows that wo…

cs.AI2018★ 25 cited

Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction

Onno Kampman, Elham J. Barezi, Dario Bertero +1

We propose a tri-modal architecture to predict Big Five personality trait scores from video clips with different channels for audio, text, and video data. For each channel, stacked…

cs.CL2016★ 21 cited

Towards Empathetic Human-Robot Interactions

Pascale Fung, Dario Bertero, Yan Wan +6

Since the late 1990s when speech companies began providing their customer-service software in the market, people have gotten used to speaking to machines. As people interact more o…