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

被引：22
作者：
Riionheimo, J
Välimäki, V
机构：
[1] Aalto Univ, Lab Acoust & Audio Signal Proc, FIN-02015 Helsinki, Finland
[2] Tampere Univ Technol, Pori Sch Technol & Econ, FIN-28101 Pori, Finland
来源：
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING | 2003年 / 2003卷 / 08期
关键词：
sound synthesis; physical modeling synthesis; plucked string synthesis; parameter estimation; genetic algorithm;
D O I：
10.1155/S1110865703302100
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：791 / 805
页数：15
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