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.
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