Perceptual component selection in sinusoidal coding of audio

摘要

This paper presents a new method for selecting the sinusoids in ahybrid audio signal model consisting of sinusoidal, transient, and noise(STN) components. The method relies on a new methodology for ranking andselection of the most perceptually relevant sinusoids. We call thismethod excitation similarity weighting (ESW) ranking and selectionprocedure. Whereas current coders tend to choose maximum signal-to-maskratio components the ESW methodology seeks to maximize the matchingbetween the excitation patterns evoked by the coded and original signalson a short-time basis. It is shown that the proposed method provides aperceptual improvement