Densely Connected Convolutional Networks for Speech Recognition
Table 5: Comparison of networks with different compression parameter (θ) in terms of WER (%) on RM test set and the training time when systems were trained with 3 hours RM data set.
['System', '# of', 'depth', '[ITALIC] θ', 'WER']
DenseNet-C performs better than DenseNet and Denst-Net-BC with RM data set, but this system uses θ=0.5 which we do not know whether it is optimal or not. DenseNet-C with θ=0.4 reaches the best WER 1.91.