Synthesis of plucked-string tones by physical modeling with recurrent neural networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Physical modeling music synthesis techniques by simulating the vibrations of acoustic instruments are becoming more and more popular in the recent years. In the past few years, trying to find those appropriate parameters in order to make the synthesis result sound close to a specific instrument has been a very difficult problem. Various try-and-error methods based on frequency domain and time domain approaches were used mostly. In this paper, we propose a systematic analysis/synthesis model called the Scattering Recurrent Network (SRN) which is capable of modeling the dynamics of a plucked string and synthesizing tones which are very close to the tones produced by the same string. The sound quality is much more superior to both FA4 and Wavetable synthesis techniques.

Original languageEnglish
Title of host publication1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997
EditorsYao Wang, Amy R. Reibman, B. H. Juang, Tsuhan Chen, Sun-Yuan Kung
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-76
Number of pages6
ISBN (Electronic)0780337808, 9780780337800
DOIs
Publication statusPublished - 1997 Jan 1
Event1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 - Princeton, United States
Duration: 1997 Jun 231997 Jun 25

Publication series

Name1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997

Other

Other1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997
CountryUnited States
CityPrinceton
Period97-06-2397-06-25

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology

Cite this

Su, W-Y., & Liang, S-F. (1997). Synthesis of plucked-string tones by physical modeling with recurrent neural networks. In Y. Wang, A. R. Reibman, B. H. Juang, T. Chen, & S-Y. Kung (Eds.), 1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997 (pp. 71-76). [602615] (1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMSP.1997.602615