Shih, Chi ChingChi ChingShihLi, Pei ChingPei ChingLiLin, Yi JuYi JuLinWang, Yu LinYu LinWangSu, Alvin W.Y.Alvin W.Y.SuSu, LiLiSuYI-HSUAN YANG2023-10-202023-10-202017-01-0124136700https://scholars.lib.ntu.edu.tw/handle/123456789/636310The 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.conference paper2-s2.0-85030218948https://api.elsevier.com/content/abstract/scopus_id/85030218948