Audio watermarking method and system based on embedding region selection

Abstract

The present invention provides an audio frequency watermark method and system based on embedding area selection. The embedding process comprises: reading an audio frequency file, determining whether each frame signal can be taken as an embedding area or not, and then performing selection of the embedding frequency bands of the audio frequency watermark; and performing the discrete Fourier transform, generating a binary pseudo-random spread spectrum sequence, performing watermark embedding, and converting the binary pseudo-random spread spectrum sequence to a time domain. The detection process includes: reading an audio file to be detected, determining whether each frame signal can be taken as an embedding area or not, calculating the starting point and the frequency domain ending point of a detection range, performing the discrete Fourier transform to generate a binary pseudo-random spread spectrum sequence, calculating the detected sufficient statistics, and obtaining the detected watermark bits.

Description

technical field [0001] The invention relates to the technical field of digital audio watermarking, in particular to an audio watermarking method and system based on embedding region selection. Background technique [0002] Digital audio watermarking is a signal processing operation that adds certain digital information to audio signals to achieve the purposes of document authenticity identification, copyright protection, and information hiding. The selection technology of the audio watermark embedding area refers to selecting the appropriate audio area to embed the watermark before embedding the watermark into the audio signal. The traditional audio watermarking technology does not consider the characteristics of the audio signal, and embeds the watermark on the entire audio file, which will cause 1) after the watermark is embedded in the area with low audio signal amplitude, the amplitude exceeds the masking threshold to generate noise, which destroys perception Transparen...

AI Technical Summary

Problems solved by technology

The traditional audio watermarking technology does not consider the characteristics of the audio signal, and embeds the watermark on the entire audio file, which will cause 1) after the watermark is embedded in the area with low audio signal amplitude, the amplitude exceeds the masking threshold to generate noise, which destroys perception Transparency; 2) For transient signals with severe changes in the audio signal, the variance of the audio signal in this area is very large, and the watermark bit error rate is very high when the watermark is detected after embedding the watermark; 3) Embedding the watermark in the frequency domain, If the watermark is embedded in an area that is not noticeable to the human ear, part of the watermark will be lost after signal processing or audio lossy compression, resulting in a high bit error rate for watermark detection

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