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cs.CL2025
Towards Authentic Movie Dubbing with Retrieve-Augmented Director-Actor Interaction Learning
Rui Liu, Yuan Zhao, Zhenqi Jia
The automatic movie dubbing model generates vivid speech from given scripts, replicating a speaker's timbre from a brief timbre prompt while ensuring lip-sync with the silent video…
cs.CL2025
Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis
Zhenqi Jia, Rui Liu, Berrak Sisman +1
Conversational Speech Synthesis (CSS) aims to generate speech with natural prosody by understanding the multimodal dialogue history (MDH). The latest work predicts the accurate pro…
cs.CL2025★ 1 cited
Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech Synthesis
Rui Liu, Zhenqi Jia, Feilong Bao +1
Conversational speech synthesis (CSS) aims to take the current dialogue (CD) history as a reference to synthesize expressive speech that aligns with the conversational style. Unlik…