Automatic Tuning of the OP-1 Synthesizer Using a Multiobjective Genetic Algorithm.

详细信息   

• 作者：Macret ; Matthieu.
• 学历：Master
• 年：2013
• 毕业院校：Simon Fraser University
• ISBN：9780499239730
• CBH：MS23973
• Country：Canada
• 语种：English
• FileSize：9171348
• Pages：109

文摘

Calibrating a sound synthesizer to replicate or approximate a given target sound is a complex and time consuming task for musicians and sound designers. In the case of the OP1,a commercial synthesizer developed by Teenage Engineering,the difficulty is multiple. The OP-1 contains several synthesis engines,effects and low frequency oscillators,which make the parameters search space very large and discontinuous. Furthermore,interactions between parameters are common and the OP-1 is not fully deterministic. We address the problem of automatically calibrating the parameters of the OP-1 to approximate a given target sound. We propose and evaluate a solution to this problem using a multi-objective Non-dominated- Sorting-Genetic-Algorithm-II. We show that our approach makes it possible to handle the problem complexity,and returns a small set of presets that best approximate the target sound while covering the Pareto front of this multi-objective optimization problem.