AMR fundamental tone delay steganalysis method based on difference value Markov transition probability characteristic in fundamental tone delay sub-frame group

A technology of pitch delay and transition probability, applied in speech analysis, instruments, etc., can solve problems such as lack of

Inactive Publication Date: 2018-01-09
WUHAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0012] The present invention aims at the problem that the current AMR-oriented steganalysis method is relatively lacking, and realizes the steganalysis-oriented AMR pitch delay

Method used

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  • AMR fundamental tone delay steganalysis method based on difference value Markov transition probability characteristic in fundamental tone delay sub-frame group
  • AMR fundamental tone delay steganalysis method based on difference value Markov transition probability characteristic in fundamental tone delay sub-frame group
  • AMR fundamental tone delay steganalysis method based on difference value Markov transition probability characteristic in fundamental tone delay sub-frame group

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Experimental program
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Embodiment Construction

[0038] 1. Feature extraction method

[0039] 1.1 Feature extraction

[0040] 1.1.1 Constructing the intra-group difference value of the pitch delay subframe group

[0041] In AMR speech compression coding, 20ms of speech is one frame, and one frame of speech is divided into 4 subframes in units of 5ms, and each subframe has a pitch delay. In one speech frame, the second subframe T 2 and the fourth subframe T 4 The pitch delay of the first subframe T 1 and the third subframe T 3 Based on , it is obtained according to the correlation within a certain interval. Such as figure 2 As shown, in the speech frame, the first subframe T 1 and the second subframe T 2 As a subframe group, the third subframe T 3 and the fourth subframe T 4 as another subframe group.

[0042] For the convenience of description, the pitch delay sequence of AMR speech is expressed as P=(p 11 ,p 12 ,...,p t1 ,p t2 ,...,p N1 ,p N2 ), N is the total number of subframe groups in AMR speech, i is ...

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Abstract

The invention discloses an AMR fundamental tone delay steganalysis method based on a difference value Markov transition probability characteristic in a fundamental tone delay sub-frame group. For thetwo steganographic algorithms for modifying fundamental tone delay in speech coding, the method provides an AMR steganalysis characteristic based on a difference value Markov transition probability ina fundamental tone delay sub-frame group. The method perform classification prediction by using a support vector machine, and achieves a steganalysis method oriented to AMR fundamental tone delay. Compared with two conventional steganographic methods oriented to fundamental tone delay, the method of the invention can achieve a detection rate more than 95% in case of a relative embedding ratio of50%.

Description

technical field [0001] The invention relates to the technical field of digital media processing, in particular to the technical field of multimedia information content security for judging whether AMR voice has been steganographically steganographically. technical background [0002] In recent years, with the continuous maturity of mobile communication means, communication manufacturers have comprehensively promoted communication technology means for mobile Internet, the demand for voice communication services is increasing, and the requirements for the coding quality of voice communication and network bandwidth occupancy have been comprehensively improved. . In order to meet the needs of mobile voice communication, in October 1999, 3GPP (3rdGeneration Partnership Project) designated AMR (Adaptive Multi-Rate, Adaptive Multi-Rate) voice coding as the voice compression coding standard for mobile Internet voice communication, making AMR coding in Widely used in GSM, TDMA, UMTS...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/00G10L19/008G10L19/018
Inventor 任延珍杨婧王丽娜
Owner WUHAN UNIV
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