Abstract

Schroeder’s backward integration method broke the new ground in classical architectural acoustics. Soon after publication of Schroeder’s backward integration method for obtaining sound energy decay functions from room-impulse responses [Schroeder, J. Acoust. Soc. Am. 37, 409–412 (1965)], research activities in this field have been frequently reported in major journal publications. For reverberation time estimation based on a traditional straight-line model, solutions to remedy problems related to the upper limit of backward integration and the background noise in experimentally measured Schroeder decay functions have emerged. Using a parametric model derived from the nature of Schroeder integration, this author proposed a nonlinear regression method [Xiang, J. Acoust. Soc. Am. 98, 2112–2121 (1995)]. The nonlinear regression method yields reverberation time estimates, insensitive to background noise, and the upper limit of integration. Recent interest in acoustically coupled-volume systems has prompted new challenges in analyzing sound energy decay characteristics, which are more complicated than just single-rate decays. This paper will demonstrate a suitable framework for this room-acoustics application using Bayesian inference and the Schroeder backward integration as the foundation of the advanced model-based energy decay analysis. Based on the Schroeder integration, two levels of inference, decay order selection, and decay parameter estimation have been developed for practical applications.

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