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.
Click to purchase paper as a non-member 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 $33 for non-members and is free for AES members and E-Library subscribers.