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High-performance combination method of electric network frequency and phase for audio forgery detection in battery-powered devices

机译:电池供电设备中音频伪造检测电网频率高性能组合方法

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摘要

Audio forgery is any act of tampering, illegal copy and fake quality in the audio in a criminal way. In the last decade, there has been increasing attention to the audio forgery detection due to a significant increase in the number of forge in different type of audio. There are a number of methods for forgery detection, which electric network frequency (ENF) is one of the powerful methods in this area for forgery detection in terms of accuracy. In spite of suitable accuracy of ENF in a majority of plug-in powered devices, the weak accuracy of ENF in audio forgery detection for battery-powered devices, especially in laptop and mobile phone, can be consider as one of the main obstacles of the ENF. To solve the ENF problem in terms of accuracy in battery-powered devices, a combination method of ENF and phase feature is proposed. From experiment conducted, ENF alone give 50% and 60% accuracy for forgery detection in mobile phone and laptop respectively, while the proposed method shows 88% and 92% accuracy respectively, for forgery detection in battery-powered devices. The results lead to higher accuracy for forgery detection with the combination of ENF and phase feature. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
机译:音频伪造是以刑事方式在音频中篡改,非法复制和假品种的行为。在过去的十年中,由于不同类型音频的伪造数量的显着增加,越来越越来越关注音频伪造检测。有许多方法对于伪造检测方法,电网频率(ENF)是在精度方面伪造检测领域的强大方法之一。尽管enf在大多数插件动力设备中的enf精度,但enf在音频伪造检测中的弱精度,电池供电的设备,尤其是笔记本电脑和手机,可以考虑作为主要障碍之一enf。为了在电池供电设备中的精度方面解决enf问题,提出了enf和相位特征的组合方法。从进行实验,单独的ENF分别为手机和笔记本电脑中的伪造检测提供了50%和60%的精度,而拟议的方法分别显示出电池供电设备的伪造检测88%和92%。结果导致使用ENF和相位的组合的伪造检测的更高精度。 (c)2016 Elsevier Ireland Ltd.保留所有权利。

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