Improvements to Deep Convolutional Neural Networks for LVCSR
Table 2: WER as a Function of # of Convolutional Layers
['# of Convolutional vs.', 'WER']
Note that for each experiment, the number of parameters in the network is kept the same. The table shows that increasing the number of convolutional layers up to 2 helps, and then performance starts to deteriorate. Furthermore, we can see from the table that CNNs offer improvements over DNNs for the same input feature set.