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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|
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
|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.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1993.
|Date Available in IDEALS:||2014-12-17|