Papers by Zhenqi Jia

1 papers
Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis (2025.emnlp-main)

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Challenge: Existing methods overlook the fine-grained semantic and prosodic interaction modeling at the word level.
Approach: They propose a novel approach to generate conversational prosody by understanding multimodal dialogue history (MDH) using fine-grained semantic and prosodic interaction modeling, they construct specialized multimodal fine-grain dialogue interaction graphs that encode interaction between word-level semantics and prosody.
Outcome: The proposed system outperforms baseline models in terms of prosodic expressiveness.

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