Synthesizing Coupled-String Musical Instruments with a Mulit-Channel Recurrent Network

Chang WC, Su AWY. Synthesizing Coupled-String Musical Instruments with a Mulit-Channel Recurrent Network. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6042. Available from: https://aes.org/publications/elibrary-page/?id=12737

@inproceedings{Chang2004_12737,
  author = {Chang, Wei-Chen and Su, Alvin W.Y.},
  title = {{Synthesizing Coupled-String Musical Instruments with a Mulit-Channel Recurrent Network}},
  booktitle = {AES Convention 116},
  note = {Paper 6042},
  year = {2004},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12737}
}

TY  - CPAPER
TI  - Synthesizing Coupled-String Musical Instruments with a Mulit-Channel Recurrent Network
AU  - Chang, Wei-Chen
AU  - Su, Alvin W.Y.
T2  - AES Convention 116
M1  - Paper 6042
PY  - 2004
DA  - 2004/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12737
PB  - Audio Engineering Society
LA  - en
AB  - Struck string instruments such as pianos usually have groups of strings terminated at some common bridges, respectively. Because of the strong coupling phenomenon, the produced tones exhibit highly complex amplitude modulation patterns. Therefore, it is difficult to determine the synthesis model parameters such that the synthesized tones can match the recorded tones. In this paper, 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 automatically extract the synthesis parameters by using a neural-network training algorithm without the knowledge of physical properties of the instruments. Encouraging results are shown in the computer simulations.
ER  -