Frame-synchronized blind speech watermarking via improved adaptive mean modulation and perceptual-based additive modulation in DWT domain

Hu, Hwai-Tsu; Lee, Tung-Tsun

doi:10.1016/j.dsp.2019.01.006

Cited by 16 publications

(6 citation statements)

References 30 publications

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“…In [19], a new technique hides a secret text within a cover audio file using modulus function-based uint 8. In [20], the proposed IAMM scheme exploits the DWT properties to achieve efficient speech watermarking of the blind. Second level approximation and detail coefficients with appropriate intensity were chosen for the embedding of information bits, and synchronisation codes for the watermarking process, respectively.…”

Section: Introductionmentioning

confidence: 99%

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Abduljaleel

Khaleel²

2020

IJECE

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In this paper, a new technique that hides a secret text inside a speech signal without any apparent noise is presented. The technique for encoding the secret text is through first scrambling the text using Chaotic Map, then encoding the scraped text using the Zaslavsky map, and finally hiding the text by breaking the speech signal into blocks and using only half of each block with the LSB, K-means algorithms. The measures (SNR, PSNR, Correlation, SSIM, and MSE) are used on various speech files (“.WAV”), and various secret texts. We observed that the suggested technique offers high security (SNR, PSNR, Correlation, and SSIM) of an encrypted text with low error (MSE). This indicates that the noise level in the speech signal is very low and the speech purity is high, so the suggested method is effective for embedding encrypted text into speech files.

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Section: Introductionmentioning

confidence: 99%

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Abduljaleel

Khaleel²

2020

IJECE

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“…With the rapid development of advanced communication technology, mobile wireless and Voice over IP (VoIP) are widely used around the world, and speech steganography has increasingly high value covering the secure and covert communication. Speech is a special case of audio signals, and it is different from the typical audio signals in terms of spectral bandwidth, intensity distribution, and signal continuity [4]- [6]. In general, methods designed for audio steganography are not suitable for speech steganography because those methods take the media object as continuous signal and do not consider the speech characteristics.…”

Section: Introductionmentioning

confidence: 99%

Robust Speech Steganography Using Differential SVD

et al. 2019

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The speech signal is different from the typical audio in terms of spectral bandwidth, intensity distribution, and signal continuity, thus how to achieve high imperceptibility and strong robustness for speech steganography is a big challenge. In this paper, we present a speech steganography scheme based on the parity-segmented method and the differential singular value decomposition (SVD). The selected discrete cosine transform (DCT) coefficients are divided into two segments according to parity order. In this way, the energy of the paired segments is approximately equal, therefore the changes in the singular values caused by data embedding are reduced, and high imperceptibility is achieved. Unlike the common SVD-based steganography, the differential SVD scheme can effectively remove the impact of amplitude scaling attack by embedding the secret message into the difference between the singular values. Experimental results show that the proposed method achieves high imperceptibility and strong robustness while resisting the state-of-the-art steganalytic methods. INDEX TERMS Steganography, differential SVD, paired segments, imperceptibility, amplitude scaling.

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“…In [14,16], Hu et al described the process of framesynchronous speech watermarking. The central idea is to pack information bits into a frame-wise format.…”

Section: Protocol For Arrangement Of Information Bitsmentioning

confidence: 99%

“…Hu et al [14] developed a synchronous package scheme in which packaged information bits are embedded within selected frames in various DWT sub-bands. An improved version with good robustness against common signal processing attacks was proposed in a follow-up study [16].…”

Section: Introductionmentioning

confidence: 99%