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Security and Communication Networks
Volume 2018 (2018), Article ID 7080673, 11 pages
Research Article

A Novel AMR-WB Speech Steganography Based on Diameter-Neighbor Codebook Partition

1School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
2School of Economics and Commerce, South China University of Technology, Guangzhou 510006, China

Correspondence should be addressed to Junhui He

Received 28 September 2017; Accepted 26 December 2017; Published 13 February 2018

Academic Editor: Rémi Cogranne

Copyright © 2018 Junhui He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Steganography is a means of covert communication without revealing the occurrence and the real purpose of communication. The adaptive multirate wideband (AMR-WB) is a widely adapted format in mobile handsets and is also the recommended speech codec for VoLTE. In this paper, a novel AMR-WB speech steganography is proposed based on diameter-neighbor codebook partition algorithm. Different embedding capacity may be achieved by adjusting the iterative parameters during codebook division. The experimental results prove that the presented AMR-WB steganography may provide higher and flexible embedding capacity without inducing perceptible distortion compared with the state-of-the-art methods. With 48 iterations of cluster merging, twice the embedding capacity of complementary-neighbor-vertices-based embedding method may be obtained with a decrease of only around 2% in speech quality and much the same undetectability. Moreover, both the quality of stego speech and the security regarding statistical steganalysis are better than the recent speech steganography based on neighbor-index-division codebook partition.