42 citations · 50 across the 12 of their papers we have counts for
12 papers
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…
Non-Invasive Suicide Risk Prediction Through Speech Analysis
Shahin Amiriparian, Maurice Gerczuk, Justina Lutz +5
The delayed access to specialized psychiatric assessments and care for patients at risk of suicidal tendencies in emergency departments creates a notable gap in timely intervention…
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…
Computational Charisma -- A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence
Björn W. Schuller, Shahin Amiriparian, Anton Batliner +6
Charisma is considered as one's ability to attract and potentially also influence others. Clearly, there can be considerable interest from an artificial intelligence's (AI) perspec…
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…
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data
Xiangheng He, Andreas Triantafyllopoulos, Alexander Kathan +9
Previous studies have shown the correlation between sensor data collected from mobile phones and human depression states. Compared to the traditional self-assessment questionnaires…
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting
Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He +9
Digital health applications are becoming increasingly important for assessing and monitoring the wellbeing of people suffering from mental health conditions like depression. A comm…
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet
Björn W. Schuller, Alican Akman, Yi Chang +6
Among the seventeen Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the 13 SDG is a call for action…