Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction
Speech emotion recognition plays an important role in various applications. However, most existing approaches predict a single emotion label, oversimplifying the inherently ambiguous nature of human emotional expression. Recent large audio-language models show promise in generating richer outputs, but their reasoning ability for ambiguous emotional understanding remains limited. In this work, we reformulate ambiguous emotion recognition as a distributional reasoning problem and present the first systematic study of ambiguity-aware reasoning in LALMs. Our framework comprises two complementary components: an ambiguity-aware objective that aligns predictions with human perceptual distributio...
| Authors | Xiaofeng Yu, Jiaheng Dong, Jean Honorio et al. |
|---|---|
| Primary category | cs.SD |
| Published | 9 March 2026 |
| Last updated at source | 9 March 2026 |
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