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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.