Table 1 presents the word error rates (WER) from the baseline CNN model trained with the SWB data when evaluated on the NIST 2000 CTS test set, for both cross-entropy (CE) training and sequence training (ST) using MMI. Also, the CNN models always gave better results, confirming similar observations from studies reported earlier <cite>[8]</cite> .