Skip to main content

Advertisement

Table 4 Identification accuracy in four noisy conditions (subway, car noise, babble, and exhibition hall) for Aurora2 noise testing dataset.

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

(%) SNR ANTCC MFCC LPCC RASTA-PLP
Subway 5 dB 26.36 2.73 5.45 14.55
  10 dB 63.64 16.36 11.82 39.09
  15 dB 75.45 44.55 34.55 57.27
  20 dB 89.09 76.36 60.0 76.36
Babble 5 dB 43.27 16.36 15.45 22.73
  10 dB 62.73 51.82 33.64 57.27
  15 dB 78.18 79.09 66.36 86.36
  20 dB 87.27 93.64 86.36 92.73
Car noise 5 dB 19.09 5.45 3.64 8.18
  10 dB 30.91 17.27 10.91 35.45
  15 dB 60.91 44.55 33.64 60.91
  20 dB 78.18 78.18 59.09 79.45
Exhibition hall 5 dB 24.55 1.82 2.73 13.64
  10 dB 62.73 20.0 19.09 31.82
  15 dB 85.45 50.0 44.55 59.09
  20 dB 95.45 76.36 74.55 82.73