Switched Scalar Optimal -law Quantization with Adaptation Performed to both the Variance and the Distribution of Speech Signal

This paper proposes a new model of switching scalar quantization that besides the usual adaptation to the variance uses a switching technique for adaptation to the distribution of the speech signal source. By applying the new model a smaller quantization errors achieved in comparison to the conventional models with a usual adaptation.