Physically informed signal processing methods for piano sound synthesis: A research overview

被引:23
|
作者
Bank, B
Avanzini, F
Borin, G
De Poli, G
Fontana, F
Rocchesso, D
机构
[1] Tech Univ Budapest, Fac Elect Engn & Informat, Dept Measurement & Informat Syst, H-111 Budapest, Hungary
[2] Univ Padua, Dept Informat Engn, I-35131 Padua, Italy
[3] Univ Verona, Dipartimento Informat, I-37134 Verona, Italy
关键词
sound synthesis; audio signal processing; structured audio; physical modeling; digital waveguide; piano; NUMERICAL SIMULATIONS; STRUCTURED AUDIO; STRINGS; MODEL;
D O I
10.1155/S1110865703304093
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper reviews recent developments in physics-based synthesis of piano. The paper considers the main components of the instrument, that is, the hammer, the string, and the soundboard. Modeling techniques are discussed for each of these elements, together with implementation strategies. Attention is focused on numerical issues, and each implementation technique is described in light of its efficiency and accuracy properties. As the structured audio coding approach is gaining popularity, the authors argue that the physical modeling approach will have relevant applications in the field of multimedia communication.
引用
收藏
页码:941 / 952
页数:12
相关论文
共 45 条
  • [1] Physically Informed Signal Processing Methods for Piano Sound Synthesis: A Research Overview
    Balázs Bank
    Federico Avanzini
    Gianpaolo Borin
    Giovanni De Poli
    Federico Fontana
    Davide Rocchesso
    EURASIP Journal on Advances in Signal Processing, 2003
  • [2] Physically informed car engine sound synthesis for virtual and augmented environments
    Baldan, Stefano
    Lachambre, Helene
    Delle Monache, Stefano
    Boussard, Patrick
    2015 IEEE 2ND VR WORKSHOP ON SONIC INTERACTIONS FOR VIRTUAL ENVIRONMENTS (SIVE), 2015, : 21 - 26
  • [3] PARALLEL DIGITAL SIGNAL PROCESSING FOR EFFICIENT PIANO SYNTHESIS
    Gabrielli, Leonardo
    Zambon, Stefano
    Fontana, Federico
    2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2015, : 2019 - 2022
  • [4] Physically-based sound synthesis software for Computer-Aided-Design of piano soundboards
    Elie, Benjamin
    Cotte, Benjamin
    Boutillon, Xavier
    ACTA ACUSTICA, 2022, 6
  • [5] Detection of Sunn Pests Using Sound Signal Processing Methods
    Yazgac, Bilgi Gorkem
    Kirci, Murvet
    Kivan, Mujgan
    2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2016, : 454 - 459
  • [6] Research on signal processing methods for machinery vibration diagnosis
    Yuan, X.
    Qu, L.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2001, 35 (07): : 714 - 717
  • [7] Time delay signal processing research in sound source localization technology
    Wang Ming
    Guo Xian
    Li Xiaomao
    Hu Xiangchao
    Qian Hai
    Zhu Baoliang
    Li Yanjie
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 5159 - 5162
  • [8] Research on processing methods to improve the signal-to-noise ratio of a magnetoacoustic signal
    Zhang, Shunqi
    Ma, Ren
    Zhou, Xiaoqing
    Yin, Tao
    Liu, Zhipeng
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 60 (60)
  • [9] Static and Dynamic Signal Processing Methods for Noise Cancellation in Sound and Electromagnetic Environment
    Masuike, Hisako
    Ikuta, Akira
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2009, E92A (03) : 753 - 761
  • [10] Kernel methods and their potential use in signal processing -: An overview and guidelines for future development
    Pérez-Cruz, F
    Bousquet, O
    IEEE SIGNAL PROCESSING MAGAZINE, 2004, 21 (03) : 57 - 65