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Description
Title: | Spectral Matching of Musical Instrument Tones |
Author(s): | Horner, Andrew Brian |
Doctoral Committee Chair(s): | Haken, Lippold |
Department / Program: | Computer Science |
Discipline: | Computer Science |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | Music
Computer Science |
Abstract: | This thesis shows how to solve two classic problems in computer music: finding parameters for wavetable and frequency modulation (FM) synthesis that reproduce a particular tone. Previous FM and wavetable matching methods have used trial-and-error or computationally expensive techniques in matching sounds. This work introduces efficient genetic algorithm-based techniques for determining parameters for the synthesis models. It also describes a principal components-based wavetable matching method and compares it with the genetic algorithm-based technique. Finally, it shows how to generalize these techniques to match a set of musical instrument tones. |
Issue Date: | 1993 |
Type: | Text |
Description: | 159 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993. |
URI: | http://hdl.handle.net/2142/72086 |
Other Identifier(s): | (UMI)AAI9329060 |
Date Available in IDEALS: | 2014-12-17 |
Date Deposited: | 1993 |
This item appears in the following Collection(s)
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Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois