2 citations · 3 across the 6 of their papers we have counts for
6 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…
Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment
Maurice Gerczuk, Shahin Amiriparian, Justina Lutz +4
In emergency medicine, timely intervention for patients at risk of suicide is often hindered by delayed access to specialised psychiatric care. To bridge this gap, we introduce a s…
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…
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets
Shahin Amiriparian, Filip Packań, Maurice Gerczuk +1
Foundation models have shown great promise in speech emotion recognition (SER) by leveraging their pre-trained representations to capture emotion patterns in speech signals. To fur…
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…