In room acoustic modeling, digital geometric room models are commonly created to aid acousticians in auditioning different possible changes that could be made to a room. It is critically important to have the mathematical parameters and final auralization of the space match, so acousticians can know with confidence changes made in the simulation will translate to the room itself. Traditionally, acousticians have been required to laboriously adjust acoustic and scattering coefficients of planes in the room model in order to align various measured metrics like reverb time (T30) and speech clarity (C50) to predicted ones. This express paper presents an alternative procedure where a heuristic algorithm is used to automate the acoustic calibration process. In addition, this paper showcases how a statistical database that includes mean and standard deviation measurements for acoustic coefficients can be implemented to account for material density deviation.
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