A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks

Liang SF, Su AWY. A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks. In: AES Convention 106. Audio Engineering Society; 1999. Paper 4903. Available from: https://aes.org/publications/elibrary-page/?id=8277

@inproceedings{Liang1999_8277,
  author = {Liang, Sheng-Fu and Su, Alvin W. Y.},
  title = {{A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks}},
  booktitle = {AES Convention 106},
  note = {Paper 4903},
  year = {1999},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=8277}
}

TY  - CPAPER
TI  - A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks
AU  - Liang, Sheng-Fu
AU  - Su, Alvin W. Y.
T2  - AES Convention 106
M1  - Paper 4903
PY  - 1999
DA  - 1999/05/06
UR  - https://aes.org/publications/elibrary-page/?id=8277
PB  - Audio Engineering Society
LA  - en
AB  - The purpose of this research is to propose a low cost general model-based method such that musical sounds can be closely synthesized by analyzing the recorded signal generated by target acoustic instruments. A recurrent neural network based technique is used to search the suitable synthesis parameters so that synthetic results can sound very close to the target instruments.
ER  -