The IBM 2015 English Conversational Telephone Speech Recognition System
Table 3: Comparison of word error rates for CE and ST CNN, DNN, RNN and various score fusions on Hub5’00.
['Model', 'WER SWB CE', 'WER SWB ST', 'WER CH CE', 'WER CH ST']
All nets are trained with 10-15 passes of cross-entropy on 2000 hours of audio and 30 iterations of sequence For score fusion, we decode with a frame-level sum of the outputs of the nets prior to the softmax with uniform weights.