Novel secured scheme for blind audio/speech norm-space watermarking by Arnold algorithm

Novel secured scheme for blind audio/speech norm-space watermarking by Arnold algorithm
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DOI:
10.1016/j.sigpro.2018.08.011
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发表时间:
2019-01
期刊:
Signal Process.
影响因子:
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通讯作者:
S. Saadi;Ahmed Merrad;Ali Benziane
S. Saadi;Ahmed Merrad;Ali Benziane
中科院分区:
其他
文献类型:
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作者:
S. Saadi;Ahmed Merrad;Ali Benziane

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本文提出了一种新的语音和音频信号盲水印方案。我们在对信号进行分帧后使用离散小波变换(DWT),然后对每一帧应用离散余弦变换(DCT)。出于相关目的,进行子采样将帧分解为两段。出于安全考虑,水印图像采用阿诺德变换,以保证检测的安全性。在不使用原始语音/音频信号和不需要插入参数的情况下完成全盲检测。实验评估和与其他已发表方案的比较表明,对于音频和语音信号的各种信号处理攻击,该方案在安全性、容量、不可感知性和鲁棒性之间取得了很好的平衡。
In this paper we propose a new scheme for blind watermarking of speech and audio signals. We used the discrete wavelet transform (DWT) after framing the signal, and then we applied the discrete cosine transform (DCT) on each frame. For correlation purpose, sub-sampling is performed to decompose the frame into two segments. For security concern, Arnold transform is employed on the watermark image in order to save detection security. The fully blind detection is accomplished without using the original speech/audio signal and the insertion parameter is not required. Experimental assessment and comparisons with other published schemes demonstrate a good tradeoff between security, capacity, imperceptibility and robustness against various signal processing attacks for both audio and speech signals.