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arXiv · 2512.05121

PESTalk: Speech-Driven 3D Facial Animation with Personalized Emotional Styles

Tianshun Han·Benjia Zhou·Ajian Liu·Yanyan Liang·Du Zhang·Zhen Lei·Jun Wan
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Abstract

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.

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Tianshun Han, Benjia Zhou, Ajian Liu, Yanyan Liang, Du Zhang, Zhen Lei, Jun Wan. 2025-10-13. PESTalk: Speech-Driven 3D Facial Animation with Personalized Emotional Styles. https://arxiv.org/abs/2512.05121

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