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Wavetable synthesis is both simple and straightforward in implementation and sophisticated and subtle in optimization. For the case of quasi-periodic musical tones, wavetable synthesis can be as compact in data storage requirements and as general as additive synthesis but requires much less real-time computation. This paper shows this equivalence, explores some suboptimal methods of extracting wavetable data from a recorded tone, and proposes a perceptually relevant error metric and constraint when attempting to reduce the amount of stored wavetable data.
Author (s): Bristow-Johnson, Robert;
Affiliation:
Wave Mechanics, Inc., Montclair, NJ,
(See document for exact affiliation information.)
AES Convention: 101
Paper Number:4400
Publication Date:
1996-11-06
Session subject:
Analysis and Synthesis of Sound and Music
DOI:
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Bristow-Johnson, Robert; 1996; Wavetable Synthesis 101, A Fundamental Perspective [PDF]; Wave Mechanics, Inc., Montclair, NJ,; Paper 4400; Available from: https://aes.org/publications/elibrary-page/?id=7379
Bristow-Johnson, Robert; Wavetable Synthesis 101, A Fundamental Perspective [PDF]; Wave Mechanics, Inc., Montclair, NJ,; Paper 4400; 1996 Available: https://aes.org/publications/elibrary-page/?id=7379
@inproceedings{Bristow-Johnson1996wavetable,
title={{Wavetable Synthesis 101, A Fundamental Perspective}},
author={Bristow-Johnson, Robert},
year={1996},
month={nov},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 4400; AES Convention 101; November 1996},
number={4400},
organization={AES},
}
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