1 citations · 3 across the 9 of their papers we have counts for
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cs.MM2024★ 1 cited
Towards Expressive Video Dubbing with Multiscale Multimodal Context Interaction
Yuan Zhao, Rui Liu, Gaoxiang Cong
Automatic Video Dubbing (AVD) generates speech aligned with lip motion and facial emotion from scripts. Recent research focuses on modeling multimodal context to enhance prosody ex…
cs.SD2024★ 1 cited
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
Gaoxiang Cong, Jiadong Pan, Liang Li +5
Given a piece of text, a video clip, and a reference audio, the movie dubbing task aims to generate speech that aligns with the video while cloning the desired voice. The existing…
cs.CL2024★ 1 cited
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing
Gaoxiang Cong, Yuankai Qi, Liang Li +6
Given a script, the challenge in Movie Dubbing (Visual Voice Cloning, V2C) is to generate speech that aligns well with the video in both time and emotion, based on the tone of a re…