New Algorithms for Wow and Flutter Detection and Compensation in Audio
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.
Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.