Methods for Detection and Removal of Parasitic Frequency Modulation in Audio Recordings

Ciarkowski A, Czyzewski A, Dziubinski M, Kaczmarek A, Kostek B, Kulesza M, Maziewski P. Methods for Detection and Removal of Parasitic Frequency Modulation in Audio Recordings. In: AES Conference: 26th International Conference: Audio Forensics in the Digital Age. Audio Engineering Society; 2005. Paper 3-3. Available from: https://aes.org/publications/elibrary-page/?id=13246

@inproceedings{Ciarkowski2005_13246,
  author = {Ciarkowski, Andrzej and Czyzewski, Andrzej and Dziubinski, Marek and Kaczmarek, Andrzej and Kostek, Bozena and Kulesza, Maciej and Maziewski, Przemyslaw},
  title = {{Methods for Detection and Removal of Parasitic Frequency Modulation in Audio Recordings}},
  booktitle = {AES Conference: 26th International Conference: Audio Forensics in the Digital Age},
  note = {Paper 3-3},
  year = {2005},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13246}
}

TY  - CPAPER
TI  - Methods for Detection and Removal of Parasitic Frequency Modulation in Audio Recordings
AU  - Ciarkowski, Andrzej
AU  - Czyzewski, Andrzej
AU  - Dziubinski, Marek
AU  - Kaczmarek, Andrzej
AU  - Kostek, Bozena
AU  - Kulesza, Maciej
AU  - Maziewski, Przemyslaw
T2  - AES Conference: 26th International Conference: Audio Forensics in the Digital Age
M1  - Paper 3-3
PY  - 2005
DA  - 2005/07/06
UR  - https://aes.org/publications/elibrary-page/?id=13246
PB  - Audio Engineering Society
LA  - en
AB  - Several methods devoted to wow defect evaluation and compensation are discussed in the paper. The presented algorithms utilize time- and spectrally-based audio processing routines. The newly proposed time-domain algorithm takes an advantage of an autocorrelation analysis of short-term pitch variations. The spectrally based methods employ: spectral peak picking techniques, analysis of spectral center of gravity, and some routines for tracking high-frequency bias in magnetic recordings. Additionally, an algorithm utilizing AR-modeling of the signal was employed to track residual hum recorded on some archive media. Several interpolation methods for wow defect reduction were studied and compared. The researched algorithms were tested employing some archival audio samples allowing their effectiveness evaluation.
ER  -