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Table 3 Identification accuracy in four noisy conditions (white, pink, factory, and f16) for TIMIT dataset.

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

(%) SNR ANTCC MFCC LPCC RASTA-PLP
White 0 dB 2.9 1.43 2.38 2.38
  5 dB 3.81 2.38 2.86 5.24
  10 dB 29.52 3.33 6.19 15.71
  15d B 64.29 11.43 12.86 39.52
Pink 0 dB 2.43 1.43 3.33 1.43
  5 dB 13.81 1.9 3.81 5.24
  10 d 50.95 8.57 8.1 27.14
  15 d 78.57 30 32.86 60.95
Factory 0 dB 2.43 1.43 2.76 1.43
  5 dB 12.86 3.33 10.48 10
  10 d 49.52 21.9 34.29 46.67
  15 d 78.1 70 73.81 74.76
F16 0 dB 2.9 2.86 2.33 1.43
  5 dB 15.24 7.14 14.76 8.1
  10 d 47.14 24.76 28.57 34.76
  15 d 77.62 57.14 67.62 60.48