@inproceedings{f07f83118e1e474b90a2565630be7624,
title = "A multi-channel recurrent network for synthesizing struck coupled-string musical instruments",
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.",
author = "Chang, {Wei Chen} and Su, {A. W.Y.}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 ; Conference date: 06-09-2002",
year = "2002",
doi = "10.1109/NNSP.2002.1030079",
language = "English",
series = "Neural Networks for Signal Processing - Proceedings of the IEEE Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "677--686",
editor = "Samy Bengio and Scott Douglas and Tulay Adali and Jan Larsen and Herve Bourlard",
booktitle = "Neural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002",
address = "United States",
}