A. J. Cooper, “Detecting Butt-Spliced Edits in Forensic Digital Audio Recordings,” in Proc. AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges, Jun. 2010, Paper 1-1. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15484
Cooper AJ. Detecting Butt-Spliced Edits in Forensic Digital Audio Recordings. In: AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges. Audio Engineering Society; 2010. Paper 1-1. Available from: https://aes.org/publications/elibrary-page/?id=15484
@inproceedings{Cooper2010_15484,
author = {Cooper, Alan J.},
title = {{Detecting Butt-Spliced Edits in Forensic Digital Audio Recordings}},
booktitle = {AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges},
note = {Paper 1-1},
year = {2010},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15484}
}
TY - CPAPER
TI - Detecting Butt-Spliced Edits in Forensic Digital Audio Recordings
AU - Cooper, Alan J.
T2 - AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges
M1 - Paper 1-1
PY - 2010
DA - 2010/06/06
UR - https://aes.org/publications/elibrary-page/?id=15484
PB - Audio Engineering Society
LA - en
AB - Digital audio recording forgeries are often created using simple editing techniques such as ‘butt splicing’. Butt splicing may leave discontinuities in the audio waveform that may or may not be audible. Detection of butt-spliced edits will be discussed and a new method to detect edits made in this manner will be proposed. The process operates in the time domain and is based on high pass filtering the audio data and modelling a discontinuity at higher frequencies where the ratio of discontinuity energy to acoustic signal energy level is improved. The model is then used as a template to search for potential edits in the filtered audio signal. The technique is optimised for data that has not been perceptually encoded post editing and is capable of detecting discontinuity points within a recording that are not discernable by auditory analysis.
ER -