A Robust Digital Audio Watermarking Algorithm Based on Time-Frequency Analysis
A time-frequency analysis, digital audio technology, applied in speech analysis, transmission systems, instruments, etc., can solve problems when it is difficult to weigh the imperceptibility of the main signal, the robustness of the watermark, the file compression and filtering are not robust enough, and the signal is not considered. Domain characteristics and other issues, to achieve the effect of enhancing imperceptibility, avoiding main signal interference, and preventing malicious attacks and tampering
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[0043] The implementation steps and effects of the technical solution of the present invention will be described in detail below in conjunction with the drawings and specific embodiments.
[0044] The method provided by the present invention for realizing robust digital audio watermark embedding and extraction in the time-frequency domain can be divided into three parts: determination of watermark embedding position; watermark generation and embedding; watermark detection and extraction, and specific processes Such as figure 1 Shown.
[0045] First of all, step 1, the determination of the watermark embedding position;
[0046] Step 1.1: Perform non-overlapping framing processing on the selected audio segment x containing N samples, and get each frame containing M 0 Samples of x i , Hilbert transform is performed on each frame to eliminate the symmetry of the frequency spectrum in the range of 2π. Because the Hilbert transform signal and the original signal have different phases, othe...
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