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EMODE: Dynamic Para-Semantic Experts for Emotion-Aware Speech Language Modeling

arXiv:2610.06956v1 Announce Type: new Abstract: 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 re…

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  1. 2026-10-07 04:00 · arXiv cs.CL
    EMODE: Dynamic Para-Semantic Experts for Emotion-Aware Speech Language Modeling

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