Computation and Memory Tradeoffs in Wavetable-Filter Matching of Musical Instrument Tones
The computation and memory tradeoffs in matching harmonic instrument tones with a hybrid wavetable-filter synthesis model are investigated. The best combination of wavetables followed by a time-varying filter for computation and storage efficiency is considered. Results are shown for trumpet, tenor voice, and Chinese pipa tones. The somewhat surprising results suggest that devoting all the computation and memory to the wavetables and discarding the filter gives the best performance.
Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.