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Bayesian Probabilistic Analysis of Sound Energy Decay Characteristics in Acoustically Coupled Rooms

In recent years, acoustics of coupled spaces have received considerable attention in architectural acoustics. One of tasks in analyzing acoustics of coupled spaces is to evaluate different decay times from double-slope decay characteristics of Schroeder decay functions using measured room impulse responses. Traditionally however, identification of double- or multiple- sloped decay in room impulse response measurement has been considered very challenging. We apply Bayesian probabilistic analysis methods to cope with the demanding tasks in estimating multiple decay times from Schroeder decay functions. Using experimentally measured data in scale-down models and in real coupled spaces, this paper discusses determination of number of decay slopes and estimation of decay times within Bayesian framework. Implemented routines of Bayesian approaches will be demonstrated.

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