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Blind microphone analysis and stable tone phase analysis for audio tampering detection

 
: Cuccovillo, Luca; Mann, Sebastian; Aichroth, Patrick; Tagliasacchi, Marco; Dittmar, Christian

Audio Engineering Society -AES-:
135th Audio Engineering Society convention 2013. Proceedings : New York, New York, USA, 17 - 20 October 2013
Red Hook, NY: Curran, 2013
ISBN: 978-1-62993-527-0
pp.271-280
Audio Engineering Society (AES Convention) <135, 2013, New York/NY>
English
Conference Paper
Fraunhofer IDMT ()
stable tone analysis; microphone analysis; tampering detection; phase analysis

Abstract
In this paper we present an audio tampering detection method based on the combination of blind microphone analysis and phase analysis of stable tones, e.g., the electrical network frequency (ENF). The proposed algorithm uses phase analysis to detect segments that might have been tampered. Afterwards, the segments are further analyzed using a feature vector able to discriminate among different microphone types. Using this combined approach, it is possible to achieve a significantly lower false-positive rate and higher reliability as compared to standalone phase analysis.

: http://publica.fraunhofer.de/documents/N-287250.html