基于ENF邻域相关系数的音频篡改盲检测

doi:10.3969/j.issn.0255-8297.2018.02.008

Abstract

Abstract:

In order to improve the accuracy of the existing blind tamper detection methods based on electric network frequency (ENF) in the case of low SNR, we propose a novel blind detection approach based on the ENF cross-correlation coefcients in neighborhood. First, the ENF signal extracted from the query audio is divided into blocks, and the cross-correlation coefcients of the adjacent blocks are calculated. Then the adaptive fast transversal flter (FTF) is performed to the coefcient sequence. According to the variation of the fltering error energy, we can detect audio forgery. In order to reduce the interference and improve the accuracy of forgery detection and localization, the audio is processed in both forward and backward directions. Then the two directions'error energies are combined to detect forgery. Compared with two existing representative methods, the proposed method performs excellent accuracy both in forgery location and forgery detection. Especially under the circumstances of larger ENF fluctuation and lower SNR, the method shows more advantages.

Key words: error energy, blind detection of audio forgery, electric network frequency (ENF) signal, fast transversal flter (FTF) adaptive algorithm, double direction processing

CLC Number:

TN911

LÜ Zhi-sheng, TAN Li, FENG Bin, HU Yong-jian. Blind Detection of Audio Forgery Based on ENF Neighborhood Correlation Coefcient[J]. Journal of Applied Sciences, 2018, 36(2): 287-298.

References

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Blind Detection of Audio Forgery Based on ENF Neighborhood Correlation Coefcient

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