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
Subject:
Audio Authentication
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