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AAC audio double compression detection method based on QMDCT coefficient

A detection method and audio technology, applied in speech analysis, instruments, etc., can solve the problems of unsatisfactory test results and low detection accuracy.

Active Publication Date: 2018-11-23
NINGBO UNIV
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Problems solved by technology

[0007] Most of the existing research on audio compression history detection focuses on MP3 audio, and there are relatively few studies on AAC audio, and the existing research on audio compression history detection for AAC audio The detection experiment results in the same bit rate compressed audio are not ideal, and the detection accuracy is low

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  • AAC audio double compression detection method based on QMDCT coefficient
  • AAC audio double compression detection method based on QMDCT coefficient
  • AAC audio double compression detection method based on QMDCT coefficient

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0031] It is found that compressed audio leaves obvious quantization traces before and after primary compression and secondary compression. How to use the quantization traces left by compression to accurately classify compressed audio is worth studying, so the present invention is proposed.

[0032] A kind of AAC audio recompression detection method based on QMDCT coefficient that the present invention proposes, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0033] Step 1: Randomly select N o The original audio with the same length and different styles, the format of the original audio is WAV format; then use the AAC encoder and adopt N b Bit rates, each original audio is compressed separately to get N b classes with a total of N of different bitrates 1 A single compressed AAC audi...

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Abstract

The present invention discloses an AAC (Advanced Audio Coding) audio double compression detection method based on a QMDCT (Quantized Modified Discrete Cosine Transform) coefficient. The method comprises the steps of: obtaining single compression AAC audio and a dual compression AAC audio with different bit rate; removing sampling points to obtain single compression removal sampling point AAC audios and dual compression removal sampling point AAC audios; obtaining a corresponding feature vector according to QMDCT coefficient distribution histograms of the single compression AAC audio and the corresponding single compression removal sampling point AAC audios; and obtaining a corresponding feature vector according to QMDCT coefficient distribution histograms of the dual compression AAC audioand the corresponding dual compression removal sampling point AAC audios; training a LIBSVM classifier according to the feature vectors of the single compression AAC audios and the dual compression AAC audios; and when test is performing, inputting the bit rate of the AAC audio to be subjected to dual compression detection to a trained corresponding LIBSVM classifier to obtain a detection result.The AAC audio double compression detection method based on the QMDCT coefficient achieves effective detection of the AAC audios of the dual compression from low code rate to high code rate and dual compression with the same code rate, and is high in detection accuracy, low in computing complexity and high in robustness.

Description

technical field [0001] The present invention relates to an audio compression history detection technology, in particular to an AAC (Advanced Audio Coding, Advanced Audio Coding) audio re-compression detection method based on QMDCT (Quantized Modified Discrete Cosine Transform, Quantized Modified Discrete Cosine Transform) coefficients. Background technique [0002] In the era of mobile Internet, the popularity of mobile smart terminals and the continuous advancement of multimedia technology have brought about major changes in people's daily life. People can more conveniently use mobile phones to collect photos and audio and share them on the Internet. These multimedia information constantly penetrate into people's lives, and it is difficult to distinguish between true and false. In order to detect the authenticity and integrity of multimedia information, multimedia forensics technology has become one of the hot research issues in the field of information security. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/008G10L25/51
CPCG10L19/008G10L25/51
Inventor 王让定黄其娟严迪群张坚
Owner NINGBO UNIV
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