A Novel Chaotic Uniform Quantizer for Speech Coding

TL;DR

This paper introduces a new chaotic uniform quantizer for speech coding that enhances security and signal quality by combining encryption and compression stages, outperforming traditional quantizers in SQNR.

Contribution

A novel chaotic uniform quantizer design integrating encryption and compression stages for improved speech coding performance.

Findings

Higher SQNR for Laplacian signals and real speech signals.

Enhanced security through chaotic sequence-based encryption.

Better performance compared to traditional uniform and non-uniform quantizers.

Abstract

Quantization is an essential step in the analog-to-digital conversion process and it is very important in all modern telecommunication systems. In this paper, a novel chaotic uniform quantizer is proposed and its application for speech coding is presented. The proposed system consists of three stages: two PCM coders separated by an XOR operation with a chaotic sequence, where the first step is used for continuous signal sampling and second stage performs data encryption, while the third stage provides additional data compression. The performance of the presented quantizer for Laplacian distributed signals and real speech signals is investigated and compared with that of the well-known uniform and non-uniform quantizers. Simulation results show that the proposed quantizer provides secured data with higher levels of SQNR compared to others.