The Microsoft 2017 Conversational Speech Recognition System
Table 5: Results for LSTM-LM rescoring on systems selected for combination, the combined system, and confusion network rescoring
['Senone set', 'Model/combination step', 'WER devset', 'WER test', 'WER devset', 'WER test']
The collection of LSTM-LMs (which includes the session-based LMs) gives a very consistent 22 to 25% relative error reduction on individual systems, compared to the N-gram LM. The system combination reduces error by 4% relative over the best individual systems, and the CN rescoring improves another 2-3% relative.