Computational challenges in multiple wavetable interpolation synthesis

Authors:
Jonathan Mohr;Xiaobo Li
Affiliations:
Augustana University College, Camrose, Alberta, Canada;University of Alberta, Edmonton, Alberta, Canada
Venue:
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Year:
2003

Citing 8
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Optimized multiple wavetable interpolation

ISPRA'05 Proceedings of the 4th WSEAS International Conference on Signal Processing, Robotics and Automation

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Abstract

A new music analysis/synthesis algorithm, optimized multiple wavetable interpolation, poses significant computational challenges in the spectral matching stage, in which it searches for the subset of the available wavetables that best matches the spectrum at each breakpoint of a piecewise linear approximation of the spectral envelope of a recorded tone. Two methods of reducing the computational cost of spectral matching are presented: a multi-level pruned search and a caching genetic algorithm.