A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion

A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion
Title:
A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion
Other Titles:
IEEE Transactions on Information Forensics and Security
Publication Date:
01 July 2014
Citation:
G. Hua, J. Goh and V. L. L. Thing, "A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion," in IEEE Transactions on Information Forensics and Security, vol. 9, no. 7, pp. 1045-1055, July 2014. doi: 10.1109/TIFS.2014.2321228
Abstract:
The electric network frequency (ENF) criterion is a recently developed technique for audio timestamp identification, which involves the matching between extracted ENF signal and reference data. For nearly a decade, conventional matching criterion has been based on the minimum mean squared error (MMSE) or maximum correlation coefficient. However, the corresponding performance is highly limited by low signal-to- noise ratio, short recording durations, frequency resolution problems, and so on. This paper presents a threshold-based dynamic matching algorithm (DMA), which is capable of autocorrecting the noise affected frequency estimates. The threshold is chosen according to the frequency resolution determined by the short-time Fourier transform (STFT) window size. A penalty coefficient is introduced to monitor the autocorrection process and finally determine the estimated timestamp. It is then shown that the DMA generalizes the conventional MMSE method. By considering the mainlobe width in the STFT caused by limited frequency resolution, the DMA achieves improved identification accuracy and robustness against higher levels of noise and the offset problem. Synthetic performance analysis and practical experimental results are provided to illustrate the advantages of the DMA.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1556-6013
1556-6021
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