TY - JOUR
T1 - Analysis and synthesis of the violin playing style of Heifetz and Oistrakh
AU - Shih, Chi Ching
AU - Li, Pei Ching
AU - Lin, Yi Ju
AU - Wang, Yu Lin
AU - Su, Alvin W.Y.
AU - Su, Li
AU - Yang, Yi Hsuan
N1 - Funding Information:
The authors would like to thank the Ministry of Science and Technology of Taiwan for its financial support of this work, under contract MOST 103-2221-E-006-140-MY3.
PY - 2017
Y1 - 2017
N2 - The same music composition can be performed in different ways, and the differences in performance aspects can strongly change the expression and character of the music. Experienced musicians tend to have their own performance style, which reflects their personality, attitudes and beliefs. In this paper, we present a data-driven analysis of the performance style of two master violinists, Jascha Heifetz and David Fyodorovich Oistrakh to find out their differences. Specifically, from 26 gramophone recordings of each of these two violinists, we compute features characterizing performance aspects including articulation, energy, and vibrato, and then compare their style in terms of the accents and legato groups of the music. Based on our findings, we propose algorithms to synthesize violin audio solo recordings of these two masters from scores, for music compositions that we either have or have not observed in the analysis stage. To our best knowledge, this study represents the first attempt that computationally analyzes and synthesizes the playing style of master violinists.
AB - The same music composition can be performed in different ways, and the differences in performance aspects can strongly change the expression and character of the music. Experienced musicians tend to have their own performance style, which reflects their personality, attitudes and beliefs. In this paper, we present a data-driven analysis of the performance style of two master violinists, Jascha Heifetz and David Fyodorovich Oistrakh to find out their differences. Specifically, from 26 gramophone recordings of each of these two violinists, we compute features characterizing performance aspects including articulation, energy, and vibrato, and then compare their style in terms of the accents and legato groups of the music. Based on our findings, we propose algorithms to synthesize violin audio solo recordings of these two masters from scores, for music compositions that we either have or have not observed in the analysis stage. To our best knowledge, this study represents the first attempt that computationally analyzes and synthesizes the playing style of master violinists.
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M3 - Conference article
AN - SCOPUS:85030218948
SN - 2413-6700
SP - 466
EP - 473
JO - Proceedings of the International Conference on Digital Audio Effects, DAFx
JF - Proceedings of the International Conference on Digital Audio Effects, DAFx
T2 - 20th International Conference on Digital Audio Effects, DAFx 2017
Y2 - 5 September 2017 through 9 September 2017
ER -