Time-of-recording estimation for audio recordings

Page view(s)
Checked on Jul 26, 2023
Time-of-recording estimation for audio recordings
Time-of-recording estimation for audio recordings
Journal Title:
Digital Investigation
Publication Date:
05 August 2017
Digital Investigation Volume 22, Supplement, August 2017, Pages S115-S126
This work addresses the problem of ENF pattern matching in the task of time-of-recording estimation. Inspired by the principle of visual comparison, we propose a novel similarity criterion, the bitwise similarity, for measuring the similarity between two ENF signals. A search system is then developed to find the best matches for a given test ENF signal within a large searching scope on the reference ENF data. By empirical comparison to other popular similarity criteria, we demonstrate that the proposed method is more effective and efficient than the state-of-the-art. For example, compared with the recent DMA algorithm, our method achieves a relative error rate decrease of 86.86% (from 20.32% to 2.67%) and a speedup of 45× faster search response (41.0444 s versus 0.8973 s). Last but not least, we present a strategy of uniqueness examination to help human examiners to ensure high precision decisions, which makes our method practical in potential forensic use.
License type:
Funding Info:
Files uploaded:

File Size Format Action
1-s20-s1742287617301883-main.pdf 1.84 MB PDF Open