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In the actual situation, it is very difficult to evaluate the complicated sound environment only by using the lower order statistics of intensity such as Leq. In the actual acoustic measurement, a background noise always contaminates observation values and the statistics of the background noise are usually unknown. In this paper, the statistical independency between the acoustic signal and the background noise is introduced as an evaluation criterion to identify the sound insulation systems. That is, by considering the sound insulation wall as a linear system on an intensity scale, the system parameters are estimated on the basis of the statistical information from the lower to the higher orders, instead of employing the artificial evaluation criterion such as the least squares error method. Then, the output probability can be easily predicted by using the estimated parameters of the sound insulation system when the other input noise passes through the same insulation system. Finally, the validity and effectiveness of the proposed method are experimentally confirmed by applying it to the actually observed data.

Identification and probabilistic response prediction methods for actual sound insulation systems contaminated by background noise.