Steganalysis of Compressed Speech

  title={Steganalysis of Compressed Speech},
  author={Bao Chun-Ian and Huang Yong-feng and Zhu Chun-yi},
  journal={The Proceedings of the Multiconference on "Computational Engineering in Systems Applications"},
Based on the analyzing of the redundancy of coded parameters in G.723.1, a novel approach to detect hiding information is proposed in this paper. By using the statistical value of increaser entropy, this scheme can not only detect hidden messages embedded in compressed speech, but also estimate the embedded message length accurately .The experimental results show that the proposed scheme is effective.