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Derivative-based audio steganalysis | ACM Transactions on ...

    https://dl.acm.org/doi/10.1145/2000486.2000492#:~:text=This%20article%20presents%20a%20second-order%20derivative-based%20audio%20steganalysis.,existence%20of%20hidden%20data%20in%20digital%20audio%20streams.
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Derivative-Based Audio Steganalysis

    https://www.shsu.edu/~qxl005/New/Publications/TOMCCAP_audiosteganalysis.pdf
    This article presents a second-order derivative-based audio steganalysis. First, Mel-cepstrum coefficients and Markov transi-tion features from the second-order derivative of the audio signal are extracted; a support vector machine is then applied to the features for discovering the existence of hidden data in digital audio streams.

Derivative-based audio steganalysis | ACM Transactions …

    https://dl.acm.org/doi/10.1145/2000486.2000492
    Results demonstrate that, in comparison with a recently proposed signal stream-based Mel-cepstrum method, the second-order derivative-based audio steganalysis method gains a considerable advantage under all categories of signal complexity--especially for audio streams with high signal complexity, which are generally the most challenging for steganalysis-and …

CiteSeerX — Derivative-Based Audio Steganalysis

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.3660
    Results demonstrate that, in comparison with a recently proposed signal stream-based Mel-cepstrum method, the second-order derivative-based audio steganalysis method gains a considerable advan-tage under all categories of signal complexity–especially for audio streams with high signal complexity, which are generally the most challenging for steganalysis-and …

(PDF) Derivative-based audio steganalysis

    https://www.researchgate.net/publication/220214526_Derivative-based_audio_steganalysis
    This article presents a second-order derivative-based audio steganalysis. First, Mel-cepstrum coefficients and Markov transi- tion features from the second-order derivative of …

Derivative-based audio steganalysis, ACM Transactions on ...

    https://www.deepdyve.com/lp/association-for-computing-machinery/derivative-based-audio-steganalysis-Fy3Z4JVg50
    To improve Mel-cepstrum-based audio steganalysis, we formulate the second-order derivative-based MFCCs and FMFCCs, obtained by replacing the signal f in (12) and (13) with the second-order ¢ Q. Liu et al. derivative D2 ( ¢), the calculation is given by f d mel1 d mel2 Derivative MelCepstrum = FT (MT (FT (D2 ))) = f ... d melM (14) and df mel1 df mel2 Derivative …

Temporal Derivative-Based Spectrum and Mel-Cepstrum …

    https://ieeexplore.ieee.org/abstract/document/5071232/
    To improve a recently developed mel-cepstrum audio steganalysis method, we present in this paper a method based on Fourier spectrum statistics and mel-cepstrum coefficients, derived from the second-order derivative of the audio signal. Specifically, the statistics of the high-frequency spectrum and the mel-cepstrum coefficients of the second …

Temporal Derivative-Based Spectrum and Mel-Cepstrum …

    https://www.researchgate.net/publication/224503942_Temporal_Derivative-Based_Spectrum_and_Mel-Cepstrum_Audio_Steganalysis
    For audio steganalysis, Liu et al. [13, 14] showed that the residuals based on the second-order derivative operation help to improve the SNR (stego signal to …

Universal audio steganalysis based on calibration and ...

    https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-spr.2016.0690
    Previous studies have shown that taking the second-order derivative of audio signal improves the performance of audio steganalysis [ 11, 12, 19 ]. Therefore, in the proposed method, the second-order derivative of signals is used for feature extraction.

A new audio steganalysis method based on linear …

    https://link.springer.com/article/10.1007/s11042-017-5123-x
    For WAV format files, Liu et al. proposed a derivative-based Fourier spectrum and Mel-cepstrum audio steganalysis method , their experiments received a good performance when the hidden ratio is high. Later, Liu et al. used Mel-cepstrum coefficients and Markov transition features from the second-order derivative of the audio signal [ 12 ] and obtained a better …

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