A precise background noise correction method in room acoustic measurement (under consideration of the frequency bandwidth of sound and time constant of measuring equipment)

This paper describes a new trial of detecting the objective acoustic signal in the noisy diffuse solid held as one of stochastic signal processing for important acoustic measurement. So, a state estimation algorithm is newly propose( from Bayesian viewpoint, especially matched to the actual acoustic measurement. The main purpose Of this paper is to find a way to estimate the statistical parameters of the sound fluctuation, in relation to the frequency characteristics of sound, a time constant of sound level meter and so On. This method is closely connected with the previously reported probability distribution of the sound intensity fluctuation in a diffuse sound field. Finally, the present method is experimentally confirmed by applying it to the actual data Of Sound intensity fluctuation contaminated by the background noise.