Table 3: Recognition rate for the proposed perceptual generalized spectral subtraction method based on the gammatone and the gammachirp filter banks decomposition (MMSE_GT and MMSE_GC) compared with the spectral modification rule (MMSE).

Babble noise Methods/SNR 0 5 10 15 MMSE 64.81% 79.41% 89.36% 90.13% MMSE_GT          MCRA 67.69% 84.79% 93.18% 94.97%  MCRA2 65.90% 83.74% 92.24% 93.93%  IMCRA 68.76% 84.41% 93.80% 94.62%  MS 66.24% 82.15% 92.07% 93.07% MMSE_GC          MCRA 57.36% 74.40% 87.66% 93.00%  MCRA2 61.29% 74.73% 87.32% 92.89%  IMCRA 67.91% 84.08% 91.83% 93.24%  MS 65.78% 75.33% 90.33% 91.10% Car noise Methods/SNR 0 5 10 15 MMSE 75.88% 85.25% 91.40% 92.96% MMSE_GT          MCRA 80.68% 89.56% 92.64% 95.13%  MCRA2 79.03% 86.83% 91.51% 93.84%  IMCRA 82.40% 90.51% 92.06% 94.99%  MS 79.78% 90.15% 91.88% 93.35% MMSE_GC          MCRA 74.77% 86.71% 91.95% 93.69%  MCRA2 72.64% 82.49% 90.33% 93.08%  IMCRA 80.18% 90.20% 92.29% 94.89%  MS 79.13% 89.75% 92.57% 93.80%