Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 13, November 2019

Split Multi-Stage Vector Quantization Based Steganography for Secure Wideband Speech Coder

  Authors

Merouane BOUZID and Bakkar LASKAR, University of Sciences and Technology Houari Boumediene (USTHB), Algeria

  Abstract

Speech steganography is a technique of covert communication which conveys secret speech hidden in cover digital speech signal in such a way that the existence of the secret speech is concealed. In this paper, we develop a steganographic speech coding system based on embedding coded secret speech into host public speech coded by the AMR-WB (ITU-T G.722.2) speech coder. For the compression of the secret speech signal, we used the 2.4 kbits/s MELP speech coder. The embedding process of the secret bit stream is carried out into the split-multistage vector quantization (S-MSVQ) indices of G.722.2 immittance spectral frequencies (ISF) by modifying the mechanism of the S-MSVQ second stage.

  Keywords

Multi-stage vector quantization, steganography, data hiding, ISF parameters, secure speech, wideband speech coder, MELP, AMR-WB