Preprint Open access
EMODE: Dynamic Para-Semantic Experts for Emotion-Aware Speech Language Modeling
Large speech language models have demonstrated strong capabilities in unified cross-modal understanding and generation, yet paralinguistic cues, especially emotion, remain difficult to preserve. Existing systems typically rely on entangled acoustic representations, which allow the underlying language model to depend ex …