activity
20202022
most citedMultiMediate '22: Backchannel Detection and Agreement Estimation in Group Interactions

13 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD20221 cited

An Efficient Multitask Learning Architecture for Affective Vocal Burst Analysis

Tobias Hallmen, Silvan Mertes, Dominik Schiller +1

Affective speech analysis is an ongoing topic of research. A relatively new problem in this field is the analysis of vocal bursts, which are nonverbal vocalisations such as laughs…

cs.HC202213 cited

MultiMediate '22: Backchannel Detection and Agreement Estimation in Group Interactions

Philipp Müller, Michael Dietz, Dominik Schiller +5

Backchannels, i.e. short interjections of the listener, serve important meta-conversational purposes like signifying attention or indicating agreement. Despite their key role, auto…

cs.CV2022

Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks

Silvan Mertes, Dominik Schiller, Florian Lingenfelser +4

Generative adversarial networks offer the possibility to generate deceptively real images that are almost indistinguishable from actual photographs. Such systems however rely on th…

cs.HC2021

Exploring emotional prototypes in a high dimensional TTS latent space

Pol van Rijn, Silvan Mertes, Dominik Schiller +4

Recent TTS systems are able to generate prosodically varied and realistic speech. However, it is unclear how this prosodic variation contributes to the perception of speakers' emot…

eess.AS20201 cited

Embedded Emotions -- A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition

Dominik Schiller, Silvan Mertes, Elisabeth André

Traditional approaches to automatic emotion recognition are relying on the application of handcrafted features. More recently however the advent of deep learning enabled algorithms…