An AMR adaptive steganographic scheme based on the pitch delay of unvoiced speech

Ren, Yi; Liu, Dengkai; Yang, Jing; Wang, Lina

doi:10.1007/s11042-018-6600-6

Cited by 11 publications

(3 citation statements)

References 16 publications

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“…It provides high capacity, the speech quality is slightly affected. [41] The scheme pitch delay on unvoiced speech (PDU-AAS) is based on changing the pitch delay of the embedded positions, using the distribution characteristic of the adjacent pitch delay.…”

Section: Scheme Characteristicsmentioning

confidence: 99%

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High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding

Kheddar

Megías

2022

Appl Intell

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Section: Scheme Characteristicsmentioning

confidence: 99%

“…Statistical security represents the ability of the steganographic scheme to avoid the detection by means of statistical analysis and/or steganalysis. The test error rate (TER) is widely used as a metric, such as in [43,41,42,13] to evaluate statistical security, which is calculated using the following equation:…”

Section: Statistical Security Analysismentioning

confidence: 99%

High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding

Kheddar

Megías

2022

Appl Intell

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show abstract

“…Ren et al [89], in 2018, found that the existing steganography algorithms by modifying the pitch delay [90] would disrupt the short-period relative stability to a certain extent. The first-order Markov transition possibility feature of the subframe distinction combined with the second-order differential Markov transition probability feature of the pitch delay [91] was proposed, and an AMR steganalysis algorithm for pitch delay correlation was designed based on [86].…”

Section: Steganalysis Based On Acbmentioning

confidence: 99%

Steganography and Steganalysis in Voice over IP: A Review

Guo

Zhang

et al. 2021

Sensors

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The rapid advance and popularization of VoIP (Voice over IP) has also brought security issues. VoIP-based secure voice communication has two sides: first, for legitimate users, the secret voice can be embedded in the carrier and transmitted safely in the channel to prevent privacy leakage and ensure data security; second, for illegal users, the use of VoIP Voice communication hides and transmits illegal information, leading to security incidents. Therefore, in recent years, steganography and steganography analysis based on VoIP have gradually become research hotspots in the field of information security. Steganography and steganalysis based on VoIP can be divided into two categories, depending on where the secret information is embedded: steganography and steganalysis based on voice payload or protocol. The former mainly regards voice payload as the carrier, and steganography or steganalysis is performed with respect to the payload. It can be subdivided into steganography and steganalysis based on FBC (fixed codebook), LPC (linear prediction coefficient), and ACB (adaptive codebook). The latter uses various protocols as the carrier and performs steganography or steganalysis with respect to some fields of the protocol header and the timing of the voice packet. It can be divided into steganography and steganalysis based on the network layer, the transport layer, and the application layer. Recent research results of steganography and steganalysis based on protocol and voice payload are classified in this paper, and the paper also summarizes their characteristics, advantages, and disadvantages. The development direction of future research is analyzed. Therefore, this research can provide good help and guidance for researchers in related fields.

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Steganalysis of adaptive multi-rate speech streams with distributed representations of codewords

Qiu

Tian

Jia-liang

et al. 2022

Journal of Information Security and Applications

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An AMR adaptive steganographic scheme based on the pitch delay of unvoiced speech

Cited by 11 publications

References 16 publications

High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding

High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding

Steganography and Steganalysis in Voice over IP: A Review

Steganalysis of adaptive multi-rate speech streams with distributed representations of codewords

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