Adjunct Professor CCRMA, Stanford University Stanford, California, United States
Methods for combining physical reverberation models are combined into feature sets describing important psychoacoustic features of room impulse responses. A method for interpolating these features to predict impulse responses in sampled acoustic spaces is proposed. Various analyses are performed to verify the validity of the method and determine parameters to minimize prediction error. Potential computational and psychoacoustic consequences of the results are discussed, as well as directions for future research.