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Table 2 Identification accuracy in four noisy conditions (white, pink, factory, and f16) for Grid dataset.

From: Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure

(%) SNR ANTCC GMM-UBM MFCC LPCC RASTA-PLP
White 0 dB 10.29 3.54 2.94 2.45 9.8
  5 dB 38.24 13.08 9.8 3.43 12.25
  10 dB 69.61 26.5 24.02 8.82 24.51
  15 dB 95.59 55.29 42.65 25 56.37
Pink 0 dB 9.31 10.67 16.67 7.35 10.29
  5 dB 45.1 21.92 28.92 15.69 24.51
  10 d 87.75 54.51 49.51 37.25 49.02
  15 d 95.59 88.09 86.27 72.55 91.18
Factory 0 dB 8.82 11.58 14.71 9.31 11.27
  5 dB 44.61 41.92 35.29 25 29.9
  10 d 87.75 60.04 66.18 52.94 63.24
  15 d 97.55 88.2 92.65 87.75 96.57
F16 0 dB 9.8 8.89 7.35 7.84 12.25
  5 dB 27.49 15.6 12.75 15.2 26.47
  10 d 69.12 45.63 52.94 36.76 50
  15 d 95.1 82.4 76.47 63.73 83.33