A multi-channel recurrent network for synthesizing struck coupled-string musical instruments

Wei Chen Chang, A. W.Y. Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Struck string instruments, such as pianos, usually have groups of strings with each group terminated at a common bridge. Because of the strong coupling phenomenon, the produced tones exhibit highly complex amplitude modulation patterns. Therefore, it is difficult to determine synthesis model parameters such that the synthesized tones can match recorded tones. A multi-channel recurrent network is proposed based on three previous works: the coupled-string model, the commuted piano synthesis method and the IIR synthesis method. This work attempts to extract automatically the synthesis parameters by using a neural-network training algorithm without the knowledge of the physical properties of the instruments. Computer simulations show encouraging results.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
EditorsSamy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages677-686
Number of pages10
ISBN (Electronic)0780376161
DOIs
Publication statusPublished - 2002 Jan 1
Event12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
Duration: 2002 Sep 6 → …

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume2002-January

Other

Other12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
CountrySwitzerland
CityMartigny
Period02-09-06 → …

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Signal Processing

Cite this

Chang, W. C., & Su, A. W. Y. (2002). A multi-channel recurrent network for synthesizing struck coupled-string musical instruments. In S. Bengio, S. Douglas, T. Adali, J. Larsen, & H. Bourlard (Eds.), Neural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002 (pp. 677-686). [1030079] (Neural Networks for Signal Processing - Proceedings of the IEEE Workshop; Vol. 2002-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NNSP.2002.1030079