Echo hiding method based on forward and backward echo kernels

Abstract

The invention discloses an echo hiding method based on forward and backward echo kernels. The method comprises the following steps of embedding a watermark, namely framing an audio carrier signal, importing forward and backward echoes of which the delay time is d into each frame of audio signal, and adding a time interval with a length of d between two frames of the audio carrier signal; and extracting the watermark, namely detecting watermarks of each frame of audio signal by a cepstrum method, extracting the watermarks according to the delay time d of the echoes, and removing the time interval between two frames of the audio carrier signal. Compared with the prior art, the echo hiding method has the advantages of eliminating signal loss during watermark embedding in the prior art and greatly increasing the signaling rate and the recovery rate by adding the time interval with the length equal to that of the delay time of the echoes between two frames of the audio carrier signal.

Description

technical field [0001] The invention relates to an echo concealment method, in particular to an echo concealment method based on forward and backward echo kernels. It belongs to the field of information security technology. Background technique [0002] With the development of science and technology, people's demand for information security is becoming more and more urgent. In information security, the most important point is to prevent attacks from attackers. Some active attackers launch attacks as soon as they discover classified information. In general, in order to prevent attackers from attacking, information hiding is usually used. The so-called information hiding is to hide confidential information in non-confidential media data (such as sound, image, etc.), so that active attackers cannot discover the hiding of information. At the same time, it is necessary to ensure that information hiding technology and encryption technology are not mutually exclusive. Exclusion...

AI Technical Summary

Problems solved by technology

In this way, the attacker cannot determine whether there is hidden information

Second. Even if the eavesdropper finds that there is hidden information, he cannot easily extract the hidden information

Third. The encryption method for confidential information cannot be easily cracked

However, there are still defects in this kind of method: the recovery rate of hidden information is low, especially when the echo amplitude is small

In other words, this makes the embedding process lose its theoretical precision

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