DocumentCode
1855095
Title
A new recurrent-network-based music synthesis method for Chinese plucked-string instruments - Pipa and Qin
Author
Liang, Sheng-Fu ; Su, Alvin W Y ; Lin, Cheng-Teng
Author_Institution
Dept. of Electr. & Control Eng., Chiau-Tung Univ., Hsinchu, Taiwan
Volume
4
fYear
1999
fDate
1999
Firstpage
2564
Abstract
A new recurrent-network-based synthesis technique for general plucked-string instruments is proposed. If is expected that the proposed technique can serve as a synthesis model as well as a systematic parameter-searching engine such that the synthetic tones can sound as close to the recorded tone as possible. Two traditional Chinese plucked-string instruments, Pipa and Qin, are introduced. A multi-stage training procedure and an improved training algorithm for the determination of synthesis parameters and excitation signal are presented. The analysis/synthesis results of the two Chinese traditional plucked-string instruments considered are shown
Keywords
learning (artificial intelligence); music; recurrent neural nets; signal synthesis; multiple stage learning; music synthesis; plucked-string instruments; recurrent neural network; systematic parameter-search; Filters; Instruments; Multiple signal classification; Neck; Network synthesis; Neural networks; Recurrent neural networks; Signal synthesis; Steel; Wounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.833478
Filename
833478
Link To Document