Blind Microphone Analysis and Stable Tone Phase Analysis for Audio Tampering Detection

Cuccovillo L, Mann S, Aichroth P, Tagliasacchi M, Dittmar C. Blind Microphone Analysis and Stable Tone Phase Analysis for Audio Tampering Detection. In: AES Convention 135. Audio Engineering Society; 2013. Paper 8966. Available from: https://aes.org/publications/elibrary-page/?id=17016

@inproceedings{Cuccovillo2013_17016,
  author = {Cuccovillo, Luca and Mann, Sebastian and Aichroth, Patrick and Tagliasacchi, Marco and Dittmar, Christian},
  title = {{Blind Microphone Analysis and Stable Tone Phase Analysis for Audio Tampering Detection}},
  booktitle = {AES Convention 135},
  note = {Paper 8966},
  year = {2013},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17016}
}

TY  - CPAPER
TI  - Blind Microphone Analysis and Stable Tone Phase Analysis for Audio Tampering Detection
AU  - Cuccovillo, Luca
AU  - Mann, Sebastian
AU  - Aichroth, Patrick
AU  - Tagliasacchi, Marco
AU  - Dittmar, Christian
T2  - AES Convention 135
M1  - Paper 8966
PY  - 2013
DA  - 2013/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17016
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -