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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


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