Table 2: Recognition rate for the proposed perceptual generalized spectral subtraction method based on the gammatone and the gammachirp filter banks decomposition (GSS_GT and GSS_GC) compared with the spectral subtraction rule (GSS).

Babble noise Methods/SNR 0 5 10 15 GSS 16.88% 31.25% 44.19% 64.96% GSS_GT          MCRA 30.02% 39.76% 51.56% 80.98%  MCRA2 28.12% 36.88% 47.69% 64.25%  IMCRA 30.68% 45.77% 63.21% 84.24%  MS 26.63% 33.86% 50.03% 79.58% GSS_GC          MCRA 33.80% 41.62% 56.23% 89.01%  MCRA2 29.99% 37.80% 48.89% 71.53%  IMCRA 33.89% 56.07% 68.21% 91.22%  MS 27.38% 35.96% 55.83% 83.98% Car noise Methods/SNR 0 5 10 15 GSS 47.88% 61.25% 65.19% 73.56% GSS_GT          MCRA 67.90% 82.83% 77.63% 88.98%  MCRA2 58.61% 77.76% 67.42% 74.09%  IMCRA 70.68% 86.40% 87.87% 90.09%  MS 57.08% 70.85% 75.29% 88.08% GSS_GC          MCRA 69.09% 87.99% 79.80% 89.97%  MCRA2 68.78% 85.60% 79.04% 80.43%  IMCRA 71.08% 88.86% 89.89% 91.95%  MS 59.18% 72.15% 78.90% 89.01%