C04-1005 method , achieving a relative error rate reduction of 8.8 % . In order to provide
C04-1005 also achieves a relative error rate reduction of 30 % . In addition , our method
C04-1005 achieves a 37 % relative error rate reduction over the " IBM Refined " method
C04-1005 obtained from Table 2 . The error rate reductions in Table 3 are omitted . Our
C04-1005 reduction . 6 Discussion The error rate reductions in this paragraph are obtained
D14-1096 the state-of-the-art , an error rate reduction of 22.3 % . This is despite using
C04-1005 resulting in a 12 % relative error rate reduction . 6 Discussion The error rate
C04-1076 79.38 . This is , 2.04 % error rate reduction compared with the 3-state HMM
C04-1103 20 percent absolute word error rate reduction . Thus , although the experiment
D09-1135 reached 87.5 % , with an error rate reduction of 10.1 % , relative to the baseline
A94-1030 drop with k = 8 , with an error rate reduction of 49.4 % at k = 2 . Thus any
D08-1087 to a 1.2 % absolute word error rate reduction over a linearly interpolated
C02-1140 system , representing an error rate reduction of 35.8 % . However , the average
D11-1103 best re-scoring , and word error rate reduction of 8 % ( relative ) on a highly
D14-1219 the corresponding relative error rate reduction ( ERR ) with respect to the baseline
E03-1005 results show a 9 % relative error rate reduction . While SL-DOP and LS-DOP have
C04-1005 achieving a 47 % relative error rate reduction . Our method also achieves a
D15-1275 corpus tested , the relative error rate reduction was 85.85 % . The system including
C04-1005 approach achieves a relative error rate reduction of 26 % and 25 % when compared
D12-1054 musical classifiers , with error rate reductions of up to 31 % . 1 Introduction
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