Evaluation of Weighted Principal-Component Analysis Matching for Wavetable Synthesis

Wun S, Horner A. Evaluation of Weighted Principal-Component Analysis Matching for Wavetable Synthesis. J Audio Eng Soc. 2007;55(9):762-774. Available from: https://aes.org/publications/elibrary-page/?id=14194

@article{Wun2007_14194,
  author = {Wun, Simon and Horner, Andrew},
  title = {{Evaluation of Weighted Principal-Component Analysis Matching for Wavetable Synthesis}},
  journal = {Journal of the Audio Engineering Society},
  volume = {55},
  number = {9},
  pages = {762--774},
  year = {2007},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14194}
}

TY  - JOUR
TI  - Evaluation of Weighted Principal-Component Analysis Matching for Wavetable Synthesis
AU  - Wun, Simon
AU  - Horner, Andrew
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 55
IS  - 9
SP  - 762
EP  - 774
PY  - 2007
DA  - 2007/09/06
UR  - https://aes.org/publications/elibrary-page/?id=14194
PB  - Audio Engineering Society
LA  - en
AB  - [Engineering Report] Wavetable matching of musical instrument tones using principal-component analysis (PCA) takes advantage of spectral correlation information to find the basis spectra. Although PCA matching is efficient, it usually matches the low-amplitude parts of a tone poorly because of its inherent statistical bias. Weighted PCA methods are described, which normalize the tone prior to PCA to fairly weight its different parts. Matching results for a range of instruments show that the PCA of a frame-weighted spectrum with a roughly constant loudness throughout improves on unweighted PCA by an average of about 4% relative spectral error. Listening test results show that frame-weighted PCA gives some perceptual improvements for most of the instruments.
ER  -