Improvements to Deep Convolutional Neural Networks for LVCSR
Table 6: Results with Different Pooling Types
['Method', 'WER']
Given the success of lp and stochastic pooling, we compare both of these strategies to max-pooling on an LVCSR task. Stochastic pooling seems to provide improvements over max and lp pooling, though the gains are slight. Unlike vision tasks, in appears that in tasks such as speech recognition which have a lot more data and thus better model estimates, generalization methods such as lp and stochastic pooling do not offer great improvements over max pooling.