In <cite>[2]</cite> , two kinds of acoustic models, a convolutional and a non-convolutional acoustic model with comparable performance, are used since they produce good complementary outputs which can be further combined for improved performance. The convolutional network used in that work is a residual network (ResNet) and an LSTM is used as the non-convolutional network. Similar to that work, in this paper also we train ResNet and LSTM based acoustic models.