Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation
type: Item
instance of: scholarly article
title: Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation
zbMATH Open document ID: 1058.94509
DOI: 10.1155/S1110865703302100
author: Janne Riionheimo
author: Vesa Välimäki
published in: EURASIP Journal on Applied Signal Processing
publication date: 2004-10-28T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 68W01
zbMATH DE Number: 2111339
MaRDI profile type: Publication
Wikidata QID: Q57914803
DBLP publication ID: journals/ejasp/RiionheimoV03
description: scientific article; zbMATH DE number 2111339