ON GMM KALMAN PREDICTIVE CODING OF LSFS FOR PACKET LOSS
Gaussian Mixture Model (GMM)-based Kalman predictive coders have been shown to perform better than baseline GMM Recursive Coders in predictive coding of Line Spectral Frequencies (LSFs) for both clean and packet loss conditions However, these stationary GMM Kalman predictive coders were not specifically designed for operation in packet loss conditions. In this paper, we demonstrate an approach to
