Perceptual component selection in sinusoidal coding of audio

Ted Painter, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a new method for selecting the sinusoids in a hybrid audio signal model consisting of sinusoidal, transient, and noise (STN) components. The method relies on a new methodology for ranking and selection of the most perceptually relevant sinusoids. We call this method Excitation Similarity Weighting (ESW) ranking and selection procedure. Whereas current coders tend to choose maximum signal-to-mask ratio components the ESW methodology seeks to maximize the matching between the excitation patterns evoked by the coded and original signals on a short-time basis. It is shown that the proposed method provides a perceptual improvement.

Original languageEnglish (US)
Title of host publication2001 IEEE Fourth Workshop on Multimedia Signal Processing
EditorsJ.-L. Dugelay, K. Rose, J.-L. Dugelay, K. Rose
Pages187-192
Number of pages6
Publication statusPublished - 2001
Event2001 IEEE fourth Workshop on Multimedia Signal Processing - Cannes, France
Duration: Oct 3 2001Oct 5 2001

Other

Other2001 IEEE fourth Workshop on Multimedia Signal Processing
CountryFrance
CityCannes
Period10/3/0110/5/01

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Painter, T., & Spanias, A. (2001). Perceptual component selection in sinusoidal coding of audio. In J-L. Dugelay, K. Rose, J-L. Dugelay, & K. Rose (Eds.), 2001 IEEE Fourth Workshop on Multimedia Signal Processing (pp. 187-192)