Synthesizing Photo-Realistic 3D Talking Head: Learning Lip Synchronicity and Emotion from Audio and Video

We propose a speech driven emotional 3D talking head. First, based on face prior knowledge, an individual head model is reconstructed by integrating the internal articulators from Magnetic Resonance Imaging slices with the appearance from visible images. Second, the blendshapes of each phoneme and the facial expression are synthesized by statistical learning. Third, visual coarticulation is modeled by training a deep neural network on parallel audio-visual data. Finally, the articulatory animations of continuous phonemes are fused by visual co articulation model and facial expressions to produce expressive speech synchronized animations. Experiments show that the system can not only distinguish the visual differences among phonemes in real-time, but also significantly increase the ability of human perception.