Abstract
The eigenvalues decomposition based on the S-method is employed to extract the specific time-frequency characteristics of speech signals. This approach is used to create a flexible speech watermark, shaped according to the time-frequency characteristics of the host signal. Also, the Hermite projection method is applied for characterization of speech regions. Namely, time-frequency regions that contain voiced components are selected for watermarking. The watermark detection is performed in the time-frequency domain as well. The theory is tested on several examples.
Highlights
Digital watermarking has been developed to provide efficient solutions for ownership protection, copyright protection, and authentication of digital multimedia data by embedding a secret signal called the watermark into the cover media
The eigenvalues decomposition based on the S-method is used to select different formants within the time-frequency regions of speech signal
Unlike the threshold-based selection, the proposed method allows for an arbitrary choice of components number and their positions in the time-frequency plane
Summary
Digital watermarking has been developed to provide efficient solutions for ownership protection, copyright protection, and authentication of digital multimedia data by embedding a secret signal called the watermark into the cover media. Most of existing watermarking techniques are based on either the time domain or the frequency domain. In order to adjust the location and the strength of the watermark to the time-varying spectral content of the host signal, a time-frequency domain-based approach is proposed in this paper. The watermark, shaped in accordance with the formants in the time-frequency domain, will be more imperceptible and more robust at the same time. In order to provide suitable compromise between imperceptibility and robustness, the watermark should be shaped according to the time-frequency components of speech signal, as proposed in [19, 20]. In this paper, the eigenvalue decomposition method is employed to create a time-frequency mask as an arbitrary combination of speech components (formants).
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