Switched Scalar Quantization with Adaptation Performed on both the Power and the Distribution of Speech Signal

Abstract

This paper analyzes the models for switching scalar quantization of a source with the Laplacian and Gaussian distribution. We have analyzed the results of real telephone speech and proposed a model of switching scalar quantization, which, in addition to adaptation on the power of speech, includes the adaptation on the distribution of signals (Gaussian and Laplacian ), which resulted in a better quality of voice signal pronounced with Signal-to-Quantization-Noise Ratio.

Keywords

• Quantization algorithms
• speech signal processing
• switched scalar quantization