Forensic Interpretation and Processing of User Generated Audio Recordings

Maher RC. Forensic Interpretation and Processing of User Generated Audio Recordings. In: AES Convention 149. Audio Engineering Society; 2020. Paper 10419. Available from: https://aes.org/publications/elibrary-page/?id=20956

@inproceedings{Maher2020_20956,
  author = {Maher, Robert C.},
  title = {{Forensic Interpretation and Processing of User Generated Audio Recordings}},
  booktitle = {AES Convention 149},
  note = {Paper 10419},
  year = {2020},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20956}
}

TY  - CPAPER
TI  - Forensic Interpretation and Processing of User Generated Audio Recordings
AU  - Maher, Robert C.
T2  - AES Convention 149
M1  - Paper 10419
PY  - 2020
DA  - 2020/10/06
UR  - https://aes.org/publications/elibrary-page/?id=20956
PB  - Audio Engineering Society
LA  - en
AB  - For audio forensic analysis, it is increasingly likely that multiple user-generated recordings (UGRs) may be presented as evidence in a criminal investigation. Audio evidence may come from handheld smartphones, private surveillance systems, police body cameras, and other unsynchronized recording devices. When multiple UGRs are available, the recordings could provide spatial and temporal information about the location and orientation of sound sources, and potentially a means to increase intelligibility of spoken utterances. However, UGRs generally start and stop at different times, differ in technical format specifications, and seldom have sufficiently reliable time stamp information for exact time and position synchronization. We study these analytical and practical constraints, and develop forensic recommendations for combining and synchronizing multiple UGRs.
ER  -