Quasi-harmonic musical instrument tones can be synthesized with various additive methods, but this approach requires a large number of parameters to describe the amplitude and frequency envelopes. Experienced users find it difficult to meaningfully manipulate so many parameters. A piecewise linear approximation with breakpoints reduces the data complexity. This study explores the perceptual implications of choosing the density of piecewise segments. Using a two-alternative forced-choice paradigm, listeners judged if the approximation was distinguishable from the original. Relative-amplitude spectral error and relative-amplitude critical-band error were found to be the best error metrics for predicting discrimination, accounting for about 80% of the discrimination variance. Strong correlations were observed between discrimination scores and the modified spectral incoherence based on the three strongest harmonics. Breath noise in the flute and bow noise in the violin appeared to cause increased discrimination issues.
(See document for exact affiliation information.)
https://aes2.org/publications/elibrary-page/?id=16634
(360KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
