[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.
Wun, Simon; Horner, Andrew
Affiliations: Sound and Interactivity Project, Institute for Infocomm Research, Singapore ; Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong(See document for exact affiliation information.)
JAES Volume 55 Issue 9 pp. 762-774; September 2007
Publication Date: September 15, 2007
No AES members have commented on this paper yet.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.