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

Abstract EN

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.