7 papers
Emotion Across Speech and Faces: Shared Affective Mechanisms in Multimodal Foundation Models
Xiutian Zhao, Luqi Sun, Björn Schuller +1
Modern multimodal foundation models (MFMs) have made rapid progress on tasks requiring integrated perception across speech, vision, and language, including emotion recognition. How…
Multilingual Emotion Neurons in Large Audio-Language Models
Xiutian Zhao, Philipp Koehn, Björn Schuller +1
Emotion is central to human communication, and its expression varies across languages. Large audio-language models (LALMs) achieve strong performance on multilingual speech tasks,…
The Affective Bridge: Preserving Speech Representations while Enhancing Deepfake Detection vian emotional Constraints
Yupei Li, Chenyang Lyu, Longyue Wang +4
Speech deepfake detection (DFD) has benefited from diverse acoustic and semantic speech representations, many of which encode valuable speech information and are costly to train. P…
Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
Mohamed Mady, Johannes Reschke, Björn Schuller
AI-generated text is nowadays produced at scale across domains and heterogeneous generation pipelines, making robustness to distribution shift a central requirement for supervised…
Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias
Tomisin Ogunnubi, Yupei Li, Björn Schuller
Speech Emotion Recognition (SER) systems have growing applications in sensitive domains such as mental health and education, where biased predictions can cause harm. Traditional fa…
Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models
Xiutian Zhao, Ismail Rasim Ulgen, Philipp Koehn +2
Large audio-language models (LALMs) can produce expressive speech, yet reliable emotion control remains elusive: conversions often miss the target affect and may degrade linguistic…