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

Junhui He,Shaohua Tang,Junxi Chen,Xiaoyu Huang,Shichang Xiao

doi:10.1155/2018/7080673

Junhui He, Shaohua Tang + Show 3 more

Open Access

https://doi.org/10.1155/2018/7080673

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Abstract

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.

Highlights

With the rapid development of the Internet and the growing popularity of instant messaging application, people are increasingly using audio-based communication
In order to demonstrate the performance of the proposed method, the perceptual quality of the stego adaptive multirate wideband (AMR-WB) speech with secret message embedded using our method is computed and compared to that of the stego AMR-WB speech generated with CNV and neighbor-index-division codebook division algorithm (NID) steganography
It can be observed that when the embedding rates are 200 bps and 300 bps, the scores of our approach are improved by about 7% and 15% correspondingly in contrast to those of NID-based steganography

Summary

Introduction

With the rapid development of the Internet and the growing popularity of instant messaging application, people are increasingly using audio-based communication. How to avoid interception and secure communication turns into one of the most important research problems. Encryption is a conventional method of protecting communication; the transmission of ciphered content may arouse attackers’ suspicion. Steganography has been presented as an effective means of covert communication. Audio steganography can transfer important messages secretly by embedding them into cover audio files with the use of information hiding techniques [1]. Data hiding in audio is especially challenging because the human auditory system operates over a wider dynamic range in comparison with human visual system

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Results

Conclusion