Speech content authentication and tamper recovery method based on modifying least significant digit weight

Abstract

The invention discloses a speech content authentication and tamper recovery method based on modifying a least significant digit weight. On the basis of characteristics of a speech signal as well as asensitive position, namely least significant digit, of speech, a novel speech fragile watermarking algorithm is designed; and the method comprises the fragile watermarking algorithm based on modifyingthe least significant digit weight of a speech sampling point, a watermark generating and embedding part based on speech contents, and a speech content authentication and recovery part. In comparisonwith an existing speech content authentication watermarking algorithm, the method provided by the invention achieves full use of such characteristics of a speech coding technology, speech sampling point least significant digit weight sensitivity and the like, so that the sensitivity and fragility of the method to tamper attack are guaranteed, and meanwhile, effective recovery of a tampered regionin the case of tamper is also guaranteed; therefore, the invention is conducive to promotion and application of the method.

Description

technical field [0001] The invention relates to the technical field of integrity authentication and tampering recovery of digital voice content, in particular to a voice content authentication and tampering recovery method based on modifying the weight of the least significant digit. Background technique [0002] As we all know, speech signal is a special audio signal, which often contains sensitive information. Once the sensitive content is damaged, its utilization rate will be reduced. In real life, people not only hope to verify the authenticity of a piece of voice content, but also hope to regain the meaning expressed by the attacked part of the voice when the voice is tampered with. That is, the integrity authentication and tampering recovery of digital voice content can be realized at the same time. [0003] At present, the research on the integrity authentication of digital voice content has made great progress, but there are relatively few literatures on the recover...

AI Technical Summary

Problems solved by technology

The advantage of this method is that the receiver can quickly extract the compressed signal of the tampered speech frame from other speech frames and restore its approximate original content, which solves the problem of a large number of calculations in the restoration process, but the compression efficiency of this method is relatively low. Low, the amount of compressed signal that needs to be embedded is large. In addition, a lot of details in the original speech signal are lost during the compression process, resulting in relatively poor quality of the restored speech

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