TY - JOUR
T1 - Source filter model for expressive Gu-Qin synthesis and its iOS app
AU - Li, Pei Ching
AU - Chang, Wei Chen
AU - Wang, Tien Min
AU - Kuo, Ya Han
AU - Su, Alvin W.Y.
N1 - Funding Information:
The authors would like to thank the National Science Council, ROC, for its financial support of this work, under Contract No.NSC 100-2221-E-006-247-MY3.
PY - 2013
Y1 - 2013
N2 - Gu-Qin as a venerable Chinese plucked-string instrument has its unique performance techniques and enchanting sounds. It is on the UNESCO Representative List of the Intangible Cultural Heritage of Humanity. It is one of the oldest Chinese solo instruments. The variation of Gu-Qin sound is so large that carefullydesigned controls of its computer synthesizer are necessary. We developed a parametric source-filter model for re-synthesizing expressive Gu-Qin notes. It is capable to cover as many as possible combinations of Gu-Qin's performance techniques. In this paper, a brief discussion of Gu-Qin playing and its special tablature notation are made for understanding the relationship between its performance techniques and its sounds. This work includes a Gu-Qin's musical notation system and a source-filter model based synthesizer. In addition, we implement an iOS app to demonstrate its low computation complexity and robustness. It is easy to perform improvisation of the sounds because of its friendly user interfaces.
AB - Gu-Qin as a venerable Chinese plucked-string instrument has its unique performance techniques and enchanting sounds. It is on the UNESCO Representative List of the Intangible Cultural Heritage of Humanity. It is one of the oldest Chinese solo instruments. The variation of Gu-Qin sound is so large that carefullydesigned controls of its computer synthesizer are necessary. We developed a parametric source-filter model for re-synthesizing expressive Gu-Qin notes. It is capable to cover as many as possible combinations of Gu-Qin's performance techniques. In this paper, a brief discussion of Gu-Qin playing and its special tablature notation are made for understanding the relationship between its performance techniques and its sounds. This work includes a Gu-Qin's musical notation system and a source-filter model based synthesizer. In addition, we implement an iOS app to demonstrate its low computation complexity and robustness. It is easy to perform improvisation of the sounds because of its friendly user interfaces.
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M3 - Conference article
AN - SCOPUS:85137642694
SN - 2413-6700
JO - Proceedings of the International Conference on Digital Audio Effects, DAFx
JF - Proceedings of the International Conference on Digital Audio Effects, DAFx
T2 - 16th International Conference on Digital Audio Effects, DAFx 2013
Y2 - 2 September 2013 through 5 September 2013
ER -