15. A computer-implemented system for synthesizing input speech that includes computer components stored in a computer readable media and executable by one or more processors, the computer components comprising: an audio-to-video engine to generate video feature parameters for an input speech using a Gaussian Mixture Model (GMM), wherein the GMM is refined by using a minimum generation error (MGE) process and the GMM includes audio parameters and updated video parameters, the audio parameters and the updated video parameters being weighted separately; and a data storage module to store facial movement associated with the video feature parameters.
16. The system of claim 15 , wherein the audio-to-video engine trains the GMM using a generalized probabilistic descent (GPD) algorithm to minimize a conversion error of a maximum likelihood estimation (MLE)-based conversion process.