Before revision:  In this paper, we ask whether lack of shift invariance is a problem in sound event classification , and whether there are benefits in addressing it . Specifically, we evaluate two pooling methods to improve shift invariance in CNNs, based on low-pass filtering and adaptive sampling of incoming feature maps.
After revision:  In this paper, we analyze the benefits of addressing lack of shift invariance is a problem in sound event classification , and whether there are benefits in addressing it . Specifically, we evaluate two pooling methods to improve shift invariance in CNNs, based on low-pass filtering and adaptive sampling of incoming feature maps.