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MATLAB code for the Robust Huber-LRT ENF Detection (PCI 2023)

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ckorgial/Huber-LRT-ENF-Detection

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On Robust Electric Network Frequency Detection Using Huber Regression

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.

Our Paper

This repo contains the codes of the proposed Huber ENF detector described in the On Robust Electric Network Frequency Detection Using Huber Regression paper. The paper is published in the Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics (PCI 2023).

Dataset

For the evaluation of our method, we used the H0 and H1 folders of the ENF-WHU-Dataset.

MATLAB Codes

  1. Calculate_Accuracy.m
  2. Calculate_ROC_AUC.m

Citation

@inproceedings{korgialas2023robust,
  title={On Robust Electric Network Frequency Detection Using Huber Regression},
  author={Korgialas, Christos and Kotropoulos, Constantine},
  booktitle={Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics (PCI)},
  pages={249--253},
  year={2023},
  publisher={ACM}
}

Acknowledgements

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).

Authors

Feel free to send us a message for any issue.

Christos Korgialas (ckorgial@csd.auth.gr) and Constantine Kotropoulos (costas@csd.auth.gr)

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MATLAB code for the Robust Huber-LRT ENF Detection (PCI 2023)

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