This paper presents statistical framework for microphone identification using digital audio recording alone. To accomplish this task, the microphone induced artifacts are modeled using a nonlinear function and then statistical tool based on higher order s

Author: Sohaib Ikram, Hafiz Malik
Affiliation: University of Michigan - Dearborn, Dearborn, MI, USA
AES Conference: 46th International Conference: Audio Forensics (June 2012)
Paper Number: 5-2
Publication Date: June 1, 2012 Import into BibTeX
Subject: Audio Authentication
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16333

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