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One of the biggest challenges of acoustic scene classification (ASC) is to find proper features to better represent and characterize environmental sounds. Environmental sounds generally involve more sound sources while exhibiting less structure in temporal spectral representations. However, the background of an acoustic scene exhibits temporal homogeneity in acoustic properties, suggesting it could be characterized by distribution statistics rather than temporal details. In this work, wedoi:10.21437/interspeech.2018-1299 dblp:conf/interspeech/SongHD18 fatcat:xq723nilw5g6tm372fgbwkynzy