Reverberation Based Tampering Detection in Audio Recordings

Patole R, Kore G, Rege P. Reverberation Based Tampering Detection in Audio Recordings. In: AES Conference: 2017 AES International Conference on Audio Forensics. Audio Engineering Society; 2017. Paper 1-4. Available from: https://aes.org/publications/elibrary-page/?id=18739

@inproceedings{Patole2017_18739,
  author = {Patole, Rashmika and Kore, Gunda and Rege, Priti},
  title = {{Reverberation Based Tampering Detection in Audio Recordings}},
  booktitle = {AES Conference: 2017 AES International Conference on Audio Forensics},
  note = {Paper 1-4},
  year = {2017},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18739}
}

TY  - CPAPER
TI  - Reverberation Based Tampering Detection in Audio Recordings
AU  - Patole, Rashmika
AU  - Kore, Gunda
AU  - Rege, Priti
T2  - AES Conference: 2017 AES International Conference on Audio Forensics
M1  - Paper 1-4
PY  - 2017
DA  - 2017/06/06
UR  - https://aes.org/publications/elibrary-page/?id=18739
PB  - Audio Engineering Society
LA  - en
AB  - Establishing the authenticity of an audio evidence is an important task in a criminal investigation. Apart from the actual signal content, the audio evidence may have artifacts due to background noise or reverberation. Inconsistencies in these artifacts can provide clues about any malicious attacks on the recording. In this paper, a methodology to detect tampering in the audio recording using the reverberation component has been proposed. A threshold based clustering technique is used to identify any unauthorized alteration on the evidentiary file. The clusters depict whether the group of audio samples belong to the same acoustic environment or are from a different recording recorded in a different environment. On the basis of number of clusters obtained, tampering can be detected.
ER  -