We would like to acknowledge (Hua et al.) for their work Robust ENF Estimation Based on Harmonic Enhancement and Maximum Weight Clique which inspired us to develop our robust estimation schemes. We would like to thank them for sharing their codes in ENF_Enhancement_Estimation folder.
This repo contains the codes of the proposed Least Absolute Deviations (LAD) ENF estimation described in the Leveraging Electric Network Frequency Estimation for Audio Authentication paper. The paper is published in IEEE Access.
For the evaluation of our method, we used the H1 and H1_ref folders of the ENF-WHU-Dataset.
- my_test.m (Code for estimating the ENF for all schemes)
- my_plots.m (Code for generating the figures presented in the paper)
@article{korgialas2024leveraging,
title={Leveraging Electric Network Frequency Estimation for Audio Authentication},
author={Korgialas, Christos and Kotropoulos, Constantine and Plataniotis, Konstantinos N},
journal={IEEE Access},
year={2024},
volume={12},
publisher={IEEE}
}
This research was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the ``2nd Call for H.F.R.I. Research Projects to support Faculty Members & Researchers" (Project Number: 3888).
Feel free to send us a message for any issue.
Christos Korgialas (ckorgial@csd.auth.gr) and Constantine Kotropoulos (costas@csd.auth.gr)