In This Section
Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
AES Journal Forum
A Comparison between Local Search and Genetic Algorithm Methods for Wavetable Matching
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.
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