42 citations · 61 across the 13 of their papers we have counts for
14 papers
Affective Computing Has Changed: The Foundation Model Disruption
Björn Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa +5
The dawn of Foundation Models has on the one hand revolutionised a wide range of research problems, and, on the other hand, democratised the access and use of AI-based tools by the…
This Paper Had the Smartest Reviewers -- Flattery Detection Utilising an Audio-Textual Transformer-Based Approach
Lukas Christ, Shahin Amiriparian, Friederike Hawighorst +5
Flattery is an important aspect of human communication that facilitates social bonding, shapes perceptions, and influences behavior through strategic compliments and praise, levera…
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition
Shahin Amiriparian, Lukas Christ, Alexander Kathan +8
The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge (MuSe-P…
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning
Lukas Christ, Shahin Amiriparian, Manuel Milling +2
Telling stories is an integral part of human communication which can evoke emotions and influence the affective states of the audience. Automatically modeling emotional trajectorie…
Exploring Meta Information for Audio-based Zero-shot Bird Classification
Alexander Gebhard, Andreas Triantafyllopoulos, Teresa Bez +3
Advances in passive acoustic monitoring and machine learning have led to the procurement of vast datasets for computational bioacoustic research. Nevertheless, data scarcity is sti…
Executive Voiced Laughter and Social Approval: An Explorative Machine Learning Study
Niklas Mueller, Steffen Klug, Andreas Koenig +4
We study voiced laughter in executive communication and its effect on social approval. Integrating research on laughter, affect-as-information, and infomediaries' social evaluation…
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation
Lukas Christ, Shahin Amiriparian, Alice Baird +10
The MuSe 2023 is a set of shared tasks addressing three different contemporary multimodal affect and sentiment analysis problems: In the Mimicked Emotions Sub-Challenge (MuSe-Mimic…
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird +20
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalen…
Automatic Emotion Modelling in Written Stories
Lukas Christ, Shahin Amiriparian, Manuel Milling +2
Telling stories is an integral part of human communication which can evoke emotions and influence the affective states of the audience. Automatically modelling emotional trajectori…
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results
Lukas Christ, Shahin Amiriparian, Alexander Kathan +3
Humor is a substantial element of human social behavior, affect, and cognition. Its automatic understanding can facilitate a more naturalistic human-AI interaction. Current methods…
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress
Lukas Christ, Shahin Amiriparian, Alice Baird +9
The Multimodal Sentiment Analysis Challenge (MuSe) 2022 is dedicated to multimodal sentiment and emotion recognition. For this year's challenge, we feature three datasets: (i) the…
A Physiologically-Adapted Gold Standard for Arousal during Stress
Alice Baird, Lukas Stappen, Lukas Christ +3
Emotion is an inherently subjective psychophysiological human-state and to produce an agreed-upon representation (gold standard) for continuous emotion requires a time-consuming an…
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
Shahin Amiriparian, Artem Sokolov, Ilhan Aslan +9
Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since. Yet, it is challengi…
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
Lukas Stappen, Alice Baird, Lukas Christ +6
Multimodal Sentiment Analysis (MuSe) 2021 is a challenge focusing on the tasks of sentiment and emotion, as well as physiological-emotion and emotion-based stress recognition throu…