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Finding Audio Geography using ENF

Abstract: 

Electric Network Frequency(ENF) is a recently developed technique for the authentication of audio signals. ENF gets embedded in audio signals due to electromagnetic interferences from power lines and hence can be used as a measure to find the geographical location and time of recording. Given an audio signal, this paper presents a technique of finding the power grid the audio belongs to. Towards this, we first extract the ENF sinusoid using a very narrow bandwidth filter centered around the nominal frequency. The filter is designed using a frequency response masking approach. The ENF is estimated from the ENF sinusoid using Short time Fourier Transform technique. In order to classify a given audio, we first estimate ENF from the ENF sinusoids obtained from audio and power signals. Further, we use a matched filter in order to decide the corresponding power grid of the audio.

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Paper Details

Authors:
Prerna Singh, Abhinav Jadon, Ambuj Mehrish
Submitted On:
16 June 2016 - 1:57pm
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Type:
Event Report
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Document Year:
2016
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[1] Prerna Singh, Abhinav Jadon, Ambuj Mehrish, "Finding Audio Geography using ENF", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1124. Accessed: Nov. 21, 2017.
@article{1124-16,
url = {http://sigport.org/1124},
author = {Prerna Singh; Abhinav Jadon; Ambuj Mehrish },
publisher = {IEEE SigPort},
title = {Finding Audio Geography using ENF},
year = {2016} }
TY - EJOUR
T1 - Finding Audio Geography using ENF
AU - Prerna Singh; Abhinav Jadon; Ambuj Mehrish
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1124
ER -
Prerna Singh, Abhinav Jadon, Ambuj Mehrish. (2016). Finding Audio Geography using ENF. IEEE SigPort. http://sigport.org/1124
Prerna Singh, Abhinav Jadon, Ambuj Mehrish, 2016. Finding Audio Geography using ENF. Available at: http://sigport.org/1124.
Prerna Singh, Abhinav Jadon, Ambuj Mehrish. (2016). "Finding Audio Geography using ENF." Web.
1. Prerna Singh, Abhinav Jadon, Ambuj Mehrish. Finding Audio Geography using ENF [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1124