Phonetic empathy Hash content authentication method capable of implementing tamper localization

Abstract

The invention relates to a phonetic empathy Hash content authentication method capable of implementing tamper localization. The method comprises the following steps: pre-processing a voice signal, carrying out 10-order linear prediction analysis on each frame of the voice signal, and acquiring an LSP (line spectral pair) coefficient through the discrete Fourier transformation as the empathy characteristics; grouping the voice data in sequence, combining LSP coefficient weighted expectations of each group of the voice data as the final authentication data, and compressing the authentication data volume through a Hash structure; and finally, quickly authenticating the voice contents through the Hash match. The method can keep robustness for the operations such as changing the sound volume, resounding and resampling, is sensitive to malicious operations such as replacement and deletion, can accurately locate the tamper area, has the characteristics of low authentication data volume and high operation efficiency, and is suitable for resource-limited voice communication terminals.

Description

technical field [0001] The invention belongs to the field of multimedia information security. Based on the voice perception hash technology, an efficient voice content authentication method capable of realizing accurate positioning of tampered areas is proposed, which can be used for content authentication in voice communication and can realize accurate positioning of tampered areas. Background technique [0002] With the rapid development of digital signal processing technology, mobile communication technology and the Internet and other technologies, the forgery of audio data tends to be concealed and can be carried out at a very low cost. Therefore, the demand for content integrity authentication of audio data is increasing. Voice is an important part of audio, and its integrity is very important in applications such as news reports, telephone communications, financial transactions, and e-government affairs. The semantics of speech can be changed by simply rearranging or ...

AI Technical Summary

Problems solved by technology

These algorithms can effectively detect malicious tampering, but

Images