New Algorithms for Wow and Flutter Detection and Compensation in Audio

Ciarkowski A, Czyzewski A, Dziubinski M, Kaczmarek A, Kulesza M, Maziewski P. New Algorithms for Wow and Flutter Detection and Compensation in Audio. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6353. Available from: https://aes.org/publications/elibrary-page/?id=13069

@inproceedings{Ciarkowski2005_13069,
  author = {Ciarkowski, Andrzej and Czyzewski, Andrzej and Dziubinski, Marek and Kaczmarek, Andrzej and Kulesza, Maciej and Maziewski, Przemyslaw},
  title = {{New Algorithms for Wow and Flutter Detection and Compensation in Audio}},
  booktitle = {AES Convention 118},
  note = {Paper 6353},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13069}
}

TY  - CPAPER
TI  - New Algorithms for Wow and Flutter Detection and Compensation in Audio
AU  - Ciarkowski, Andrzej
AU  - Czyzewski, Andrzej
AU  - Dziubinski, Marek
AU  - Kaczmarek, Andrzej
AU  - Kulesza, Maciej
AU  - Maziewski, Przemyslaw
T2  - AES Convention 118
M1  - Paper 6353
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13069
PB  - Audio Engineering Society
LA  - en
AB  - New algorithms were developed based on formant structure analysis as a method for discriminating wow from natural musical effects such as vibrato. Another algorithms allowing wow tracking were also proposed such as: algorithm employing AR model for power line hum frequency detection and algorithm for estimating pitch variation curve employing noise bandwidth analysis. A setup was proposed for efficient wow tracking based on recording bias detection in magnetic recordings. Moreover. time-varying resampling routine was implemented and applied to wow compensation. The developed algorithms were studied employing real audio examples allowing a comparison of their effectiveness.
ER  -