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There were 151 individual word errors , so I was able to go through the output of wordscore - v and consider each error in turn . In previous work we presented a hybrid speech recognition system based on the combination of acoustic and articulatory information which achieved significant word error rate reductions under highly noisy conditions on a small-vocabulary numbers recognition task . For this type of speech data , it achieves consistent word error reductions of more than 0.4 % compared to a carefully tuned backoff n-gram language model . This approach has achieved a relative word error reduction of up to 20 % when used to combine the systems ' outputs from the 1998 and 1999 Broadcast News evaluations . The modified ROVER achieves an additional 5 % relative word error reduction on the 1998 and 1999 Broadcast News evaluation test sets . The residual word error rate on these 80 % is less than 1 % .