Mobile phone sound record equipment source identification method

An identification method and equipment technology, applied in speech analysis, instruments, etc., can solve problems such as untested and difficult to determine the function, and achieve the effect of improving efficiency

Active Publication Date: 2017-10-20
DONGGUAN UNIV OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is also difficult to delve into the exact role of the proposed features for the study of audio source identification problems.
In addition, in the literature mentioned above, the number of devices used in the experiment is only 22 at most, and larger-scale experiments need to be tested

Method used

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  • Mobile phone sound record equipment source identification method
  • Mobile phone sound record equipment source identification method
  • Mobile phone sound record equipment source identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] The method provided by the present invention extracts features in the same way no matter for the test samples or the training samples. Wherein the test sample or training sample is a recording file obtained by collecting recordings from different mobile phones, which is stored as an uncompressed WAV format file, and several 2-second recording segments are formed after cutting.

[0041] The specific process of feature extraction for test samples or training samples is as follows:

[0042] a) The test samples / training samples are first divided into frames to obtain several frames of audio frames, and then a Hamming window is added to each frame of audio frames. Record the test sample / training sample as s, the frame length is N=256, divide the test sample / training sample into T frames of audio frames, and record each frame of audio frame as s (t) , where t=1,2,...,T is the frame number. Let H be the coefficient of the Hamming window with window size N elements. The sign...

Embodiment 2

[0059] Different devices have different ways of responding to frequencies, and their properties are usually reflected in the frequency spectrum of the audio. The analysis found that for different devices, the frequency energy of adjacent narrowbands has certain differences, and this difference exists stably. From this "band energy difference" a frequency response curve (device fingerprint) can be constructed. figure 1 It is a schematic diagram of the "frequency band energy difference characteristics" of eleven mobile devices. The audio collected with 11 devices includes the voices of 4 people (2 men and 2 women, marked M1 / M2 / F1 / F2 in the picture) and recordings at two locations (marked as places @A and @C in the picture) . It can be seen from the figure that the characteristic curves of each device under different conditions are similar in shape and have peaks and valleys at the same position, while different devices have different shapes (frequency response patterns).

[0...

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PUM

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Abstract

The invention provides a mobile phone sound record equipment source identification method. Equipment source identification is performed through the frequency band energy difference characteristics. The frequency band energy difference characteristics can represent the average intensity degree of adjacent frequency band response of the equipment so that the mobile phone sound record equipment source can be identified by using the classifier technology.

Description

technical field [0001] The invention relates to the technical field of multimedia signal processing, and more particularly, to a device source identification method for mobile phone recording. Background technique [0002] In the judicial evidence collection process, a very important evidence collection link is to identify the source of information. Usually each piece of physical evidence needs to be identified as its source. For multimedia information, the source is usually the device from which the information was obtained. For example, for an image, it comes from a video camera or a digital camera, and the audio comes from a tape recorder or a voice recorder. In recent years, with the rapid development of smart phones, users can conveniently use the mobile phone to record or record video. Therefore, authenticating the source of the recording of the mobile phone has also become an important task of forensics. [0003] Mobile phone source identification mainly includes ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/03G10L25/18G10L25/51G10L25/45
CPCG10L25/03G10L25/18G10L25/45G10L25/51
Inventor 罗达黄继武
Owner DONGGUAN UNIV OF TECH
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