The IBM 2015 English Conversational Telephone Speech Recognition System
Table 6: Comparison of word error rates on Hub5’00 (SWB and CH) for existing systems (∗ note that the 19.1% CallHome WER is not reported in [13]).
['System', 'AM training data', 'SWB', 'CH']
Since Switchboard is such a well-studied corpus, we thought we would take a step back and reflect on how far we have come in terms of speech recognition technology. At the height of technological development for GMM-based systems, the winning IBM submission scored 15.2% WER during the 2004 DARPA EARS For clarity, we also specify the type of training data that was used for acoustic modeling in each case.