Using a perceptually Based Timbre Metric for parameter control estimation in Physical Modeling synthesis
نویسندگان
چکیده
Manual adjustment of control parameters for physical modeling synthesis suffers from practical limitations of timeintensive and sometimes arbitrary and haphazard parameter tweaking. An efficient approach to automatic parameter estimation, the goal of this study, would potentially eliminate much of the hit or miss nature of parameter tuning by finding optimal control parameters for physical modeling synthesis. The method is based on psychoacoustically motivated timbre distance estimations between a recorded reference sound and a set of corresponding synthesized sounds.The timbre comparisons are based upon the sample mean and standard deviation between MelFrequency Cepstral Coefficients (MFCC) computed using several steady-state time frames from the reference and synthesized sounds. This framework serves as a preliminary model of the auditory feedback loop in music instrument performance.
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