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Audio Data Authentication with PMU Data and EWT

Publication Type : Journal Article

Publisher : Procedia Technology

Source : . Procedia Technology, 21, 596–603

Url :

Keywords : Digital forensics, Electrical Network Frequency, Empirical Wavelet Transform, Hilbert transform

Campus : Amritapuri, Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication

Year : 2015

Abstract : Digital forensics has become a flourishing research area. Electrical Network Frequency (ENF) plays an important role in assessing the authenticity of a digital recording such as audio. ENF criterion is a tool for extracting the embedded power line frequency from the recording. A cross correlation between a reference PMU data and extracted ENF signal can be done in order to determine the authenticity of an audio signal. In this paper, Empirical Wavelet Transform (EWT) is used for extracting the ENF from an audio signal. EWT decomposes signal into N modes. Hilbert Transform is used to compute the instantaneous frequency and amplitude of the extracted mode corresponding to ENF. EWT method is not able to capture the weak harmonics in a signal. This problem is resolved by fixing the frequency domain boundaries of each mode.

Cite this Research Publication : Premjith, B., Mohan, Neethu, Poornachandran, P., & Soman, K. (2015). Audio data authentication with pmu data and ewt. Procedia Technology, 21, 596–603.

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