Adaptive Parametric Schemes for Analysis and Synthesis of Musical Signals

Wang K, Ge H, Ding Y. Adaptive Parametric Schemes for Analysis and Synthesis of Musical Signals. J Audio Eng Soc. 2001;49(5):353-365. Available from: https://aes.org/publications/elibrary-page/?id=10191

@article{Wang2001_10191,
  author = {Wang, Kun and Ge, Hongya and Ding, Yinong},
  title = {{Adaptive Parametric Schemes for Analysis and Synthesis of Musical Signals}},
  journal = {Journal of the Audio Engineering Society},
  volume = {49},
  number = {5},
  pages = {353--365},
  year = {2001},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=10191}
}

TY  - JOUR
TI  - Adaptive Parametric Schemes for Analysis and Synthesis of Musical Signals
AU  - Wang, Kun
AU  - Ge, Hongya
AU  - Ding, Yinong
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 49
IS  - 5
SP  - 353
EP  - 365
PY  - 2001
DA  - 2001/05/06
UR  - https://aes.org/publications/elibrary-page/?id=10191
PB  - Audio Engineering Society
LA  - en
AB  - An adaptive approach to the analysis and synthesis of musical signals is presented. These musical signals are modeled as nonstationary time-varying signals with mixed spectra. A frame-by-frame-based analysis and synthesis approach is adopted to capture the important time-varying nature of the musical signals. Through data analysis the relationship between a number of factors is discussed, such as modeling accuracy and efficiency, frame length, model order, and accuracy of parameter estimation. Once the signal parameters have been extracted from data analysis, the sounds are synthesized using these parameters. Analysis and synthesis results using variable model orders and variable frame lengths in combination with high-resolution parameter estimation and residual modeling are presented. The results show that the proposed algorithms are computationally efficient and effective when synthesizing piano and trumpet tones.
ER  -