Detecting Replicas within Audio Evidence Using an Adaptive Audio Fingerprinting Scheme

Távora RGF, Nascimento FA. Detecting Replicas within Audio Evidence Using an Adaptive Audio Fingerprinting Scheme. J Audio Eng Soc. 2015;63(6):451-462. doi:10.17743/jaes.2015.0056

@article{Tavora2015_17824,
  author = {Távora, Rodrigo G. F. and Nascimento, Francisco Assis},
  title = {{Detecting Replicas within Audio Evidence Using an Adaptive Audio Fingerprinting Scheme}},
  journal = {Journal of the Audio Engineering Society},
  volume = {63},
  number = {6},
  pages = {451--462},
  year = {2015},
  month = jun,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2015.0056},
  url = {https://doi.org/10.17743/jaes.2015.0056}
}

TY  - JOUR
TI  - Detecting Replicas within Audio Evidence Using an Adaptive Audio Fingerprinting Scheme
AU  - Távora, Rodrigo G. F.
AU  - Nascimento, Francisco Assis
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 63
IS  - 6
SP  - 451
EP  - 462
PY  - 2015
DA  - 2015/06/06
DO  - 10.17743/jaes.2015.0056
UR  - https://doi.org/10.17743/jaes.2015.0056
PB  - Audio Engineering Society
LA  - en
AB  - Audio authenticity is one of the major tasks for audio forensic experts because it is often a requirement for the admissibility of digital audio evidence. This investigation proposes a passive authentication method based on an adaptive audio fingerprinting scheme to detect forgeries produced by the replication of an audio interval within the same evidence. Several audio fingerprinting systems are analyzed, and an adaptive scheme based on the Fourier spectrum distribution is proposed. The adaptive system is theoretically and empirically adjusted to detect short replicas. Simulations are performed to analyze the robustness against time, frequency domain, and compression distortions. The method has the power to discriminate repeated text speech and distinguish it from audio replicas as short at 0.1 s even in the presence of amplitude and frequency distortions.
ER  -