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open-questions/electrical-network-frequency-analysis/useable-source-codes.md
Conrad Röber 607dbe053a Added reference to Python GUI
2023-12-23 11:13:23 +01:00

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Available source codes

PyEnf

  • Python based, ENF extraction from audio recordings.
  • Using harmonic frequencies and frequency spectrogram.

https://github.com/deerajnagothu/pyenf_extraction

Assessing spectral estimation methods for Electric Network Frequency (ENF) Extraction.

  • Matlab source codes.
  • Signal filtering with a very sharp bandpass filter (main.m).
  • ENF extraction procedure using overplapping windows and a Quadratic Interpolation (main.m). Very good results achieved due to proper parameter tuning both in the pre-processing step and in the main procedure.
  • Georgios Karantaidis and Constantine Kotropoulos. 2018. "ASSESSING SPECTRAL ESTIMATION METHODS FOR ELECTRIC NETWORK FREQUENCY EXTRACTION",In 22nd Pan-Hellenic Conference on Informatics (PCI ’18), November 29-December 1, 2018, Athens, Greece. ACM, New York, NY, USA, 6 pages. 

https://doi.org/10.1145/3291533.329153 https://github.com/geokarant/ENF_extraction

PyQt GUI for ENF Extraction and Matching.

Python code: https://github.com/CoRoe/enf-matching; feeback welcome.

Based on https://github.com/robert/enf-matching