標題: Model-based synthesis of plucked string instruments by using a class of scattering recurrent networks
作者: Liang, SF
Su, AWY
Lin, CT
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: physical modeling;plucked string instruments;scattering recurrent networks
公開日期: 1-一月-2000
摘要: A physical modeling method for electronic music synthesis of plucked-string tones by using recurrent networks is proposed. A scattering recurrent network (SRN) which is used to analyze string dynamics is built based on the physics of acoustic strings, The measured vibration of a plucked string is employed as the training data for the supervised learning of the SRN, After the network is well trained, it can be regarded as the virtual model for the measured string and used to generate tones which can be very close to those generated by its acoustic counterpart. The "virtual string" corresponding to the SRN can respond to different "plucks" just like a real string, which is impossible using traditional synthesis techniques such as frequency modulation and wavetable. The simulation of modeling a cello "A"-string demonstrates some encouraging results of the new music synthesis technique. Some aspects of modeling and synthesis procedures are also discussed.
URI: http://dx.doi.org/10.1109/72.822519
http://hdl.handle.net/11536/30861
ISSN: 1045-9227
DOI: 10.1109/72.822519
期刊: IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume: 11
Issue: 1
起始頁: 171
結束頁: 185
顯示於類別:期刊論文


文件中的檔案:

  1. 000085524000016.pdf