Picking spectral snapshots from an original tone is a successful approach to finding basis spectra in wavetable matching of musical instrument tones. Spectral snapshot selection usually requires optimization by a sophisticated technique such as a genetic algorithm (GA). GA selection is compared to a straightforward local search method, which first selects an initial set of basis spectra from the original tone by some simple selection strategy, and then modifies and improves them. Matching results for a range of instruments show that local search, when using the best composite results found by various simple selection strategies, is as effective as the GA. Moreover, surprisingly, starting from various initial basis spectra, local search can usually find several different matches, all with errors within 1% of the best solution, indicating that there are many near-optimal solutions in the wavetable search space.
https://www.aes.org/e-lib/browse.cfm?elib=13414
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 and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!
