Computer Simulation of Piano Tones and Design of Virtual Piano System

被引：0
作者：
Zhang Y. [1 ]
Guo A. [2 ]
Pan Y. [3 ]
Shi W. [4 ]
机构：
[1] College of Music, Jilin Normal University, Jilin, Siping
[2] College of Music, Baicheng Normal University, Jilin, Baicheng
[3] College of Physics and Electronic Information, Baicheng Normal University, Jilin, Baicheng
[4] Research Institute for Information Technology, Kyushu University, Fukuoka
来源：
Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期
关键词：
Digital simulation; Spectral envelope method; Vibration equations; Virtual piano system;
D O I：
10.2478/amns-2024-1424
中图分类号：
学科分类号：
摘要：
With the advancement of contemporary technology, there is an increasing demand for sophisticated tone libraries in intelligent and digital pianos. This paper introduces a virtual piano system based on timbre simulation. Drawing upon the articulation principles of the piano, a mathematical model is formulated to derive the equation governing string vibrations. This equation facilitates a comprehensive analysis of the components constituting piano timbre and establishes a model for synthesizing these timbres using a frequency envelope algorithm. The short-time Fourier transform (STFT) is utilized to extract features from the synthesized timbre and to accomplish its digital simulation. Subsequently, the integration of the piano's timbre features with computer programming facilitates the comprehensive design of the virtual piano system. Performance testing and evaluation of the system reveal promising results: the detection rate for each musical piece exceeds 90%, with an average detection rate of 94.81% across ten pieces and an average deviation (Mean-D) of 3.35 in the scoring of 100 music samples. This research contributes to the flexibility in timbre editing, enhances the expressiveness of intelligent and digital pianos, and aims to elevate the music industry to new heights. © 2024 Yuting Zhang et al., published by Sciendo.
引用
收藏
相关论文
共 16 条
  • [1] Fujioka T., Ross B., Beta‐band oscillations during passive listening to metronome sounds reflect improved timing representation after short‐term musical training in healthy older adults, European Journal of Neuroscience, 46, 8, (2017)
  • [2] Fujioka T., Distributed neural systems for musical time processing, The Journal of the Acoustical Society of America, 144, 3, pp. 1760-1761, (2018)
  • [3] Chi J.Y., Halaki M., Ackermann B.J., Ergonomics in violin and piano playing: a systematic review, Applied Ergonomics, 88, (2020)
  • [4] Rokni E., Adkison C., Moore T., Phantom partials in the piano sound and the role of the soundboard, The Journal of the Acoustical Society of America, 141, 5, (2017)
  • [5] Cao C., Creation characteristics of music piano arrangement based on distributed sensors, Mobile information systems, 22, (2022)
  • [6] Faraci P.P., Case J.A., Farrell J.M., King E.A., Celmer R., Dynamic characterization of grand and upright piano action, The Journal of the Acoustical Society of America, 144, 3, (2018)
  • [7] Cunmei J., Fang L., Patrick, Et al., Sensitivity to musical emotion is influenced by tonal structure in congenital amusia, Scientific Reports, 7, 1, (2017)
  • [8] Tan, Jack J., Chaigne A., Acri, Antonio, Operational transfer path analysis of a piano, APPLIED ACOUSTICS, (2018)
  • [9] Mirza N.M., Feroze T., Piano key identification using labview, Progress in Artificial Intelligence, 9, 1, (2020)
  • [10] Einbond A., Mapping the klangdom live: cartographies for piano with two performers and electronics, Computer Music Journal, 41, 1, pp. 61-75, (2017)
12