activity
20172022
most citedTowards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning

17 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20224 cited

Designing Conversational Robots with Children during the Pandemic

Thomas Beelen, Ella Velner, Roeland Ordelman +3

Our research project (CHATTERS) is about designing a conversational robot for children's digital information search. We want to design a robot with a suitable conversation, that fo…

cs.IR20213 cited

Does your robot know? Enhancing children's information retrieval through spoken conversation with responsible robots

T. Beelen, E. Velner, R. Ordelman +3

In this paper, we identify challenges in children's current information retrieval process, and propose conversational robots as an opportunity to ease this process in a responsible…

cs.HC20211 cited

Speaking of Trust -- Speech as a Measure of Trust

Ella Velner, Khiet P. Truong, Vanessa Evers

Since trust measures in human-robot interaction are often subjective or not possible to implement real-time, we propose to use speech cues (on what, when and how the user talks) as…

cs.CL20179 cited

Learning spectro-temporal features with 3D CNNs for speech emotion recognition

Jaebok Kim, Khiet P. Truong, Gwenn Englebienne +1

In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion rec…

cs.CL201717 cited

Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning

Jaebok Kim, Gwenn Englebienne, Khiet P. Truong +1

One of the challenges in Speech Emotion Recognition (SER) "in the wild" is the large mismatch between training and test data (e.g. speakers and tasks). In order to improve the gene…