Artificial reverberator algorithms should be evaluated using stochastic methods. The reverberation impulse response is separated into the early part, containing the unique spatial personality, and the late part, containing the statistically random process. Stochastic models collapse the large amount of data in the late reverberation into a small number of temporal and spectral metrics. When they match the perceptual criteria, the process is transparent. This provides a scientific method for achieving high quality without the need for extensive ad hoc listening experiments. Other disciplines, notably statistical physics, psychoacoustics, architecture, and music, contribute critically important insights. Some of the apparent paradoxes converge into a coherent theory using this approach.
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