Wavetable Matching Synthesis of Dynamic Instruments with Genetic Algorithms
A method is introduced for finding the minimal set of wavetables necessary to model the full pitch range of an instrument. The method extends a genetic-algorithm-based method for matching individual tones. Results are given for the English horn, the trombone, and the Chinese erhu. It is also described how to avoid potential wavetable aliasing, and an extension of the technique to model dynamics and articulations is presented.
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 temporarily free for AES members.