We would like to acknowledge (Hua et al.) for their work Detection of Electric Network Frequency in Audio Recordings–From Theory to Practical Detectors which inspired us to develop our robust detector. We would like to thank them for sharing their codes in ENF_Detection folder.
This repo contains the codes of the proposed Least Absolute Deviations (LAD) ENF detector described in the Electric Network Frequency Detection Using Least Absolute Deviations paper. The paper is published in the proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023).
For the evaluation of our method, we used the H0 and H1 folders of the ENF-WHU-Dataset.
- Calculate_Accuracy.m
- Calculate_ROC_AUC.m
- Test_Periodograms.m
@inproceedings{Korgialas_2023,
doi = {10.1109/icassp49357.2023.10095869},
url = {https://doi.org/10.1109%2Ficassp49357.2023.10095869},
year = 2023,
month = {jun},
publisher = {{IEEE}},
author = {Christos Korgialas and Constantine Kotropoulos},
title = {Electric Network Frequency Detection Using Least Absolute Deviations},
booktitle = {2023 {IEEE} International Conference on Acoustics, Speech and Signal Processing ({ICASSP})}}
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)