A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
A Compact and Discriminative Feature Based on Auditory Summary Statistics for Acoustic Scene Classification
2018
Interspeech 2018
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, we
doi:10.21437/interspeech.2018-1299
dblp:conf/interspeech/SongHD18
fatcat:xq723nilw5g6tm372fgbwkynzy