19 citations · 49 across the 19 of their papers we have counts for
27 papers
EmoSURA: Towards Accurate Evaluation of Detailed and Long-Context Emotional Speech Captions
Xin Jing, Andreas Triantafyllopoulos, Jiadong Wang +3
Recent advancements in speech captioning models have enabled the generation of rich, fine-grained captions for emotional speech. However, the evaluation of such captions remains a…
SmoothCLAP: Soft-Target Enhanced Contrastive Language\--Audio Pretraining for Affective Computing
Xin Jing, Jiadong Wang, Andreas Triantafyllopoulos +4
The ambiguity of human emotions poses several challenges for machine learning models, as they often overlap and lack clear delineating boundaries. Contrastive language-audio pretra…
Non-Verbal Vocalisations and their Challenges: Emotion, Privacy, Sparseness, and Real Life
Anton Batliner, Shahin Amiriparian, Björn W. Schuller
Non-Verbal Vocalisations (NVVs) are short `non-word' utterances without proper linguistic (semantic) meaning but conveying connotations -- be this emotions/affects or other paralin…
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…