標題: A class of physical modeling recurrent networks for analysis/synthesis of plucked string instruments
作者: Su, AWY
Liang, SF
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: physical modeling;plucked string instruments;portamento;recurrent networks
公開日期: 1-九月-2002
摘要: A new approach is proposed that closely synthesizes tones of plucked string instruments by using a class of physical modeling recurrent networks. The strategies employed in this paper consist of a fast training algorithm and a multistage training procedure that are able to obtain the synthesis parameters for a specific instrument automatically. The training vector can be recorded tones of most target plucked instruments with ordinary microphones. The proposed approach delivers encouraging results when it is applied to different types of plucked string instruments such as steel-string guitar, nylon-string guitar, harp, Chin, Yueh-chin, and Pipa. The synthesized tones sound very close to the originals produced by their acoustic counterparts. In addition, this paper presents an embedded technique that can produce special effects such as vibrato and portamento that are vital to the playing of plucked-string instruments. The computation required in the resynthesis processing is also reasonable.
URI: http://dx.doi.org/10.1109/TNN.2002.1031945
http://hdl.handle.net/11536/28559
ISSN: 1045-9227
DOI: 10.1109/TNN.2002.1031945
期刊: IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume: 13
Issue: 5
起始頁: 1137
結束頁: 1148
顯示於類別:期刊論文


文件中的檔案:

  1. 000177992800011.pdf