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Table 8 WERs (%) of ESniff MMSE

From: Compensation of SNR and noise type mismatch using an environmental sniffing based speech recognition solution

Framework

WER (%)

 

Set A

Set B

Set C

Average

MTR

7.70

8.23

9.26

8.22

ESniff MMSR (Conventional)

7.59

10.66

8.57

9.01

ESniff SNR-MMSR (SNR Mapping)

6.78

9.56

8.17

8.17

ESniff MMSE (M = 128)

6.71

8.98

7.92

7.86

ESniff MMSE (M = 32)

6.69

9.01

8.00

7.88

ESniff MMSE (M = 16)

6.68

9.02

8.02

7.88

ESniff MMSE (M = 8)

6.61

8.97

8.01

7.86

ESniff MMSE (M = 4)

6.63

9.02

8.03

7.86

ESniff MMSE (M = 2)

8.01

10.58

9.56

9.34

  1. The number of Gaussian distributions varies with MMSE performed along with a comparison to MTR, conventional ESniff MMSR and ESniff SNR-MMSR when using the AFE feature vectors.