19 citations · 57 across the 8 of their papers we have counts for
8 papers
MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions
Philipp Müller, Michal Balazia, Tobias Baur +9
Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In M…
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…
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…
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…
VoiceMe: Personalized voice generation in TTS
Pol van Rijn, Silvan Mertes, Dominik Schiller +5
Novel text-to-speech systems can generate entirely new voices that were not seen during training. However, it remains a difficult task to efficiently create personalized voices fro…
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…
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
Pooja Prajod, Dominik Schiller, Tobias Huber +1
In this paper, we present a process to investigate the effects of transfer learning for automatic facial expression recognition from emotions to pain. To this end, we first train a…
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…