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Many natural sounds, such as those produced by rainstorms, fires, or insects at night, consist of large numbers of rapidly occurring acoustic events. We hypothesize that humans encode these "sound textures" with statistical measurements that capture their constituent features and the relationship between them. We explored this hypothesis using a synthesis algorithm that measures statistics in a real sound and imposes them on a sample of noise. Simply matching the marginal statistics (variance,doi:10.1109/aspaa.2009.5346467 dblp:conf/waspaa/McDermottOS09 fatcat:5nqq4foy5bfb5dqjranakyipmm