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Evaluation of Iterative Matching for Scalable Wavetable Synthesis
% Abstract Wavetable synthesis of musical instrument tones has attracted some interest in its application in the generation of polyphonic ringtones on mobile phones. Recent work on wavetable synthesis assumes that a constant number of wavetables are used throughout the duration of a tone. A scalable approach would dynamically allocate wavetables to simultaneous voices to allow more polyphony and improve the sound quality. Iterative wavetable matching finds the basis spectra one by one over several iterations, and offers real-time control of the number of wavetables, supporting scalability. This paper describes and evaluates several iterative methods. Matching results for a range of instruments show that, on average, iterative local search can find matches with errors within 0.5\% of near-optimal non-iterative solutions. Iterative local search only rarely gets stuck on bad local optima.
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