Automatic detection method and system for digital audio deletion and insertion tampering operation

Abstract

The invention belongs to the technical field of digital audio signal tampering detection, and discloses an automatic detection method and system for digital audio deletion and insertion tampering operation. The method comprises the following steps: extracting a power grid frequency spectrum feature supervector of each digital audio signal by employing a trained universal background model of power grid frequency; inputting the extracted power grid frequency spectrum feature supervector into a deep representation learning network formed by an attention mechanism and a residual network to learn shallow features; and inputting the trained shallow layer features into a classification network, and judging whether the features are tampered by deletion or insertion. According to the method, the a power grid frequency spectrum feature supervector is extracted, and the deep neural network is established to train the extracted features; automation of tampering detection is realized, the deep neural network is well applied to tampering detection, and a good effect is achieved; and the method provided by the invention has higher accuracy and better robustness.

Description

technical field [0001] The invention belongs to the technical field of digital audio signal tampering detection, and in particular relates to an automatic detection method and system for digital audio deletion and insertion tampering operations. Background technique [0002] At present, with the rapid development of Internet information technology and the gradual popularization of smart mobile devices, digital multimedia data (such as audio, image, text, etc.) has become the main information carrier. The cost of recording and storing digital audio files is also becoming lower and lower, and at the same time, it is becoming more and more convenient to obtain digital audio files from the Internet, and people's demands for collecting and sharing digital audio files are increasing day by day. At the same time, various audio editing software have also emerged one after another, making it easier to edit audio signals. Therefore, there is an increasing need for effective protectio...

AI Technical Summary

Problems solved by technology

[0008](1) There are certain restrictions on the quality of the signal to be tested and the recording environment, etc., and there is no consistent evaluation standard for the test results;

[0009](2) The extracted power grid frequency features cannot reflect tampering information well, and the classifier used cannot make better use of features and important information of learning features;

[0010](3) Some detection methods require professional knowledge and experience, setting thresholds and decision-making conditions are vague, and cannot realize automatic detection well

[0011](4) Existing features are not deep enough for mining tampering information in grid frequency;

[0012](5) The generalization of traditional methods is weak, and the robustness and accuracy of audio detection needs to be improved;

[0013]The difficulty of solving the above problems and defects is: for the automatic detection of digital audio deletion and insertion tampering operations, it is necessary to extract features that are more suitable for training in deep networks. Building a network more amenable to tamper detection

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