Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation

Authors:
Janne Riionheimo;Vesa Välimäki
Affiliations:
Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, Espoo, Finland;Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, Espoo, Finland and Pori School of Technology and Economics, Tampere University of Technology, Pori, Finland
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2003

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Abstract

We describe a technique for estimating control parameters for a plucked string synthesis model using a genetic algorithm. The model has been intensively used for sound synthesis of various string instruments but the fine tuning of the parameters has been carried out with a semiautomatic method that requires some hand adjustment with human listening. An automated method for extracting the parameters from recorded tones is described in this paper. The calculation of the fitness function utilizes knowledge of the properties of human hearing.