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The authentication of digital multimedia evidence can play important roles in both judicial and extrajudicial cases. Over the past decade or so, various techniques and methodologies have been proposed for forensic audio and video authentication. This paper proposes a new method for forensic media authentication based on quantization level analysis (QL) of a digital audio signal. Five methods for calculating QL are provided including: QL histogram, QL length, greatest common divisor, Fast Fourier Transform (FFT), and Cepstrum. Examples of QL analysis are provided to demonstrate its use in the detection a recording’s native QL versus the file format bit depth, the detection of signal processing, and the analysis of consistency with reference recordings (recorder attribution).
Author (s): Grigoras, Catalin;
Smith, Jeff M.;
Affiliation:
University of Colorado Denver, Denver, CO, USA
(See document for exact affiliation information.)
Publication Date:
2014-06-06
Session subject:
Audio Authentication
DOI:
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Grigoras, Catalin; Smith, Jeff M.; 2014; Quantization Level for Forensic Media Authentication [PDF]; University of Colorado Denver, Denver, CO, USA; Paper 4-1; Available from: https://aes.org/publications/elibrary-page/?id=17320
Grigoras, Catalin; Smith, Jeff M.; Quantization Level for Forensic Media Authentication [PDF]; University of Colorado Denver, Denver, CO, USA; Paper 4-1; 2014 Available: https://aes.org/publications/elibrary-page/?id=17320
@inproceedings{Grigoras2014quantization,
title={{Quantization Level for Forensic Media Authentication}},
author={Grigoras, Catalin and Smith, Jeff M.},
year={2014},
month={jun},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 4-1; AES Conference: 54th International Conference: Audio Forensics; June 2014},
number={4-1},
organization={AES},
}
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