Fuzzy Adaptive Filter for State Estimation of Sound Environment System and Its Application to Psychological Evaluation

The internal physical mechanism of actual sound environment system is often difficult to recognize analytically from the bottom-up viewpoint, and it contains unknown structural characteristics. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this paper, a method for estimating the specific signal for sound environment system with unknown structure and fuzzy observation is proposed by introducing a fuzzy theory and a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed by applying it to the actual problem of psychological evaluation for the sound environment.