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The computation and memory tradeoffs in matching harmonic instrument tones with a hybrid wavetable-filter synthesis model are investigated. The best combination of wavetables followed by a time-varying filter for computation and storage efficiency is considered. Results are shown for trumpet, tenor voice, and Chinese pipa tones. The somewhat surprising results suggest that devoting all the computation and memory to the wavetables and discarding the filter gives the best performance.
Author (s): Ng, Alan;
Horner, Andrew;
Affiliation:
Deparmzent of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong
(See document for exact affiliation information.)
Publication Date:
2000-10-06
DOI:
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Ng, Alan; Horner, Andrew; 2000; Computation and Memory Tradeoffs in Wavetable-Filter Matching of Musical Instrument Tones [PDF]; Deparmzent of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong; Paper ; Available from: https://aes.org/publications/elibrary-page/?id=12043
Ng, Alan; Horner, Andrew; Computation and Memory Tradeoffs in Wavetable-Filter Matching of Musical Instrument Tones [PDF]; Deparmzent of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong; Paper ; 2000 Available: https://aes.org/publications/elibrary-page/?id=12043
@article{Ng2000computation,
title={{Computation and Memory Tradeoffs in Wavetable-Filter Matching of Musical Instrument Tones}},
author={Ng, Alan and Horner, Andrew},
year={2000},
month={oct},
journal={Journal of the Audio Engineering Society},
volume={48},
number={10},
pages={930-939},
}
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