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Xemo-Talker: Unlock Emotions Explicitly for Audio-Driven Talking Portrait Synthesis
Chaolong Yang, Xiaoyang Li, Yinghao Zhang, Yong Zhang, Jingyi Yu
emotion synthesisaudio-driventalking headsmachine learning
2608.14700
Builder Relevance
1h ago80%
Abstract
Xemo-Talker improves emotion control in audio-driven talking heads by using explicit emotion-related losses and a novel Tri-Loss approach.
Reality Card
Core Claim
Xemo-Talker achieves state-of-the-art emotion classification accuracy while maintaining competitive lip synchronization and high inference efficiency.
Method / Result
Achieves performance approaching that measured on real videos.
Limitations
Training with explicit emotion-related losses poses significant difficulties due to the trade-off between lip synchronization and emotion control.
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