In <cite>[2,</cite> 3] we describe state-of-the-art speech recognition systems on the CTS task using multiple LSTM and ResNet acoustic models trained on various acoustic features along with word and character LSTMs and convolutional WaveNet-style language models. In this paper we develop a similar but simpler variant for BN.