Quantization noise modeling in low-delay vector predictive speech coding
We study quantization noise modeling in a low-delay vector predictive transform coder for speech signals. The coder uses a Kalman filter with a backward estimated LPC model of the speech signal combined with an additive noise model of the quantization noise. Computer simulations indicate that modeling of the quantization noise can improve the quality of the decoded speech signal. This is especiall