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Table 5 Word error rates (WERs) of Hub5’00-SWB and RT03S-FSH for 100-best/1,000-best rescoring with NNLM and UP-NNLM

From: Empirically combining unnormalized NNLM and back-off N-gram for fast N-best rescoring in speech recognition

Model

100-best WER (%)

1,000-best WER (%)

 

Hub5’00-SWB

RT03S-FSH

Hub5’00-SWB

RT03S-FSH

1-best (KN3)

17.3

20.2

17.3

20.2

+UP-FNNLM

16.6 (-0.7)

19.0 (-1.2)

16.5 (-0.8)

19.0 (-1.2)

+UP-RNNLM-C400

16.5 (-0.8)

19.0 (-1.2)

16.4 (-0.9)

19.1 (-1.1)

+FNNLM

15.7 (-1.6)

18.4 (-1.8)

15.6 (-1.7)

18.4 (-1.8)

+RNNLM-C400

15.4 (-1.9)

18.2 (-2.0)

15.2 (-2.1)

18.4 (-1.8)

KN5

17.1 (-0.2)

19.5 (-0.7)

16.9 (-0.4)

19.4 (-0.8)

+UP-FNNLM

16.4 (-0.9)

18.6 (-1.6)

16.2 (-1.1)

18.6 (-1.6)

+UP-RNNLM-C400

16.1 (-1.2)

18.5 (-1.7)

16.0 (-1.3)

18.5 (-1.7)

+FNNLM

15.6 (-1.7)

18.3 (-1.9)

15.4 (-1.9)

18.2 (-2.0)

+RNNLM-C400

15.3 (-2.0)

18.1 (-2.1)

15.2 (-2.1)

18.1 (-2.1)

FNNLM

15.9 (-1.4)

18.7 (-1.5)

15.8 (-1.5)

18.7 (-1.5)

RNNLM-C400

15.4 (-1.9)

18.4 (-1.8)

15.5 (-1.8)

18.6 (-1.6)