PESTalk: Speech-Driven 3D Facial Animation with Personalized Emotional Styles
Han, Tianshun, Zhou, Benjia, Liu, Ajian, Liang, Yanyan, Zhang, Du, Lei, Zhen, Wan, Jun
–arXiv.org Artificial Intelligence
PESTalk is a novel method for generating 3D facial animations with personalized emotional styles directly from speech. It overcomes key limitations of existing approaches by introducing a Dual-Stream Emotion Extractor (DSEE) that captures both time and frequency-domain audio features for fine-grained emotion analysis, and an Emotional Style Modeling Module (ESMM) that models individual expression patterns based on voiceprint characteristics. To address data scarcity, the method leverages a newly constructed 3D-EmoStyle dataset. Evaluations demonstrate that PESTalk outperforms state-of-the-art methods in producing realistic and personalized facial animations.
arXiv.org Artificial Intelligence
Dec-8-2025
- Country:
- Asia
- Europe > Ireland
- Leinster > County Dublin > Dublin (0.05)
- North America > United States
- New York > New York County > New York City (0.04)
- Genre:
- Research Report > Promising Solution (0.68)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning > Neural Networks (0.93)
- Natural Language (1.00)
- Vision (0.96)
- Graphics > Animation (0.98)
- Artificial Intelligence
- Information Technology