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...
Jia Pan, Yi-Wen Gu, Xin-Ze Li et al.
· 0 citations