A neural network based post-filter for speech-driven head motion synthesis

• Published in: arXiv.org
• Main Authors: Lu, JinHong, Shimodaira, Hiroshi
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 25.07.2019
• Subjects: Animation; Ground truth; Head movement; Human motion; Linear filters; Neural networks; Post-processing; Random noise; Smoothness; Synthesis

Despite the fact that neural networks are widely used for speech-driven head motion synthesis, it is well-known that the output of neural networks is noisy or discontinuous due to the limited capability of deep neural networks in predicting human motion. Thus, post-processing is required to obtain s...