Abstract
In this paper, we propose a method for visualizing the influence of wind on sound propagating in a room where wind is blowing, and rating the degree of influence. Since non-uniform airflow affects sound propagation and gives time-variant characteristics to the transfer function, a method is needed to understand the influence of wind. Therefore we propose a method that measures impulse responses multiple times indoors, determines a similarity matrix between impulse responses, and visualizes it as a heatmap. We evaluate the proposed method in four types of average wind velocity (0.0 m/s, 2.7 m/s, 3.3 m/s, 3.9 m/s). The result of the evaluation showed that the greater the influence of the wind, the higher the value of diagonal elements of the similarity matrix than off-diagonal elements, and the tendency for diagonal elements to be emphasized. We also confirm that the rating based on the Frobenius norm of the similarity matrix takes a lower value as the influence of the wind is greater.
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