Comparing the order of a polynomial phase model for the synthesis of quasi-harmonic audio signals

L. Girin, S. Marchand, J. Di Martino, A. Röbel, G. Peeters

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sinusoidal modeling has been successfully applied to a wide range of audio signal processing problems, such as coding or time and frequency stretching. While many methods have been proposed for the analysis part of the process, it seems that there is some general agreement concerning the synthesis part in the nonoverlapping case: It is very often achieved by using the well-known McAulay-Quatieri method, which consists of an order 3 polynomial reconstruction of the phases of the sinusoidal model partials. We compare this "classical" approach with both a simpler (order 1, that is, linear interpolation) and a more complex (order 5) polynomial model for phase interpolation of quasi-harmonic signals. A gain has been measured in the signal-to-noise ratio at the synthesis stage, although the performance is limited by the amplitude model and by the imprecision in the analysis stage.

Original languageEnglish
Title of host publication2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics Proceedings, WASPAA 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages193-196
Number of pages4
ISBN (Electronic)0780378504
DOIs
Publication statusPublished - 1 Jan 2003
Externally publishedYes
EventIEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2003 - New Paltz, United States
Duration: 19 Oct 200322 Oct 2003

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2003-January

Conference

ConferenceIEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2003
Country/TerritoryUnited States
CityNew Paltz
Period19/10/0322/10/03

Keywords

  • Frequency
  • Gain measurement
  • Interpolation
  • Performance analysis
  • Performance gain
  • Polynomials
  • Signal analysis
  • Signal processing
  • Signal synthesis
  • Signal to noise ratio

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