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Table 4 System overall performance with different configurations with respect to native origin of speakers and using the Arabic LDC-WestPoint corpus.

From: Experiments on Automatic Recognition of Nonnative Arabic Speech

  N/N Exp. 1.a N/NN Exp. 2.a NN/N Exp. 3.a NN/NN Exp. 4.a M/M Exp. 5.a N/N Exp. 1.b N/NN Exp. 2.b NN/N Exp. 3.b NN/NN Exp. 4.b M/M Exp. 5.b
Corr (%) 52,01% 46,44% 43,03% 50,32% 89,46% 93,98% 96,78% 98,85%
Del (%) 2,33% 2,24% 2,43% 2,74% 2,37% 0,00% 0,00% 0,01% 0,00% 0,00%
Sub (%) 45,66% 51,32% 54,54% 4,27% 47,31% 0,01% 10,22% 5,08% 2,89% 0,01%
  Without bigram-based language model With bigram-based language model