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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.
Author (s): Liang, Sheng-Fu;
Su, Alvin W. Y.;
Affiliation:
Chung-Hwa University, Hsin-Chu,Taiwan ; Chiao-Tung University, Hsin-Chu,Taiwan
(See document for exact affiliation information.)
AES Convention: 106
Paper Number:4903
Publication Date:
1999-05-06
Session subject:
Musical Acoustics
DOI:
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Liang, Sheng-Fu; Su, Alvin W. Y.; 1999; A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks [PDF]; Chung-Hwa University, Hsin-Chu,Taiwan ; Chiao-Tung University, Hsin-Chu,Taiwan; Paper 4903; Available from: https://aes.org/publications/elibrary-page/?id=8277
Liang, Sheng-Fu; Su, Alvin W. Y.; A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks [PDF]; Chung-Hwa University, Hsin-Chu,Taiwan ; Chiao-Tung University, Hsin-Chu,Taiwan; Paper 4903; 1999 Available: https://aes.org/publications/elibrary-page/?id=8277
@inproceedings{Liang1999a,
title={{A Generalized Model-Based Analysis/Synthesis Method for Plucked-String Instruments by Using Recurrent Neural Networks}},
author={Liang, Sheng-Fu and Su, Alvin W. Y.},
year={1999},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 4903; AES Convention 106; May 1999},
number={4903},
organization={AES},
}
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