Optimized multiple wavetable interpolation

  • Authors:
  • Jonathan Mohr;Xiaobo Li

  • Affiliations:
  • Augustana Faculty, University of Alberta, Camrose, Alberta, Canada;Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada

  • Venue:
  • ISPRA'05 Proceedings of the 4th WSEAS International Conference on Signal Processing, Robotics and Automation
  • Year:
  • 2005

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Abstract

One effective approach to music analysis/synthesis is multiple wavetable interpolation, which matches an audio signal at selected breakpoints by determining weightings for several wavetables; the sound is resynthesized using multiple wavetable additive synthesis by interpolating between the weightings for each wavetable at consecutive breakpoints. This article presents a new breakpoint-matching algorithm which uses the single-source acyclic weighted shortest path algorithm to choose breakpoint matches in a globally optimal way.