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Table 1 Total misclassification error difference between adopting the fixed combination (10, 30) and utilizing the best ( M , R ) combination

From: Efficient voice activity detection algorithm using long-term spectral flatness measure

Noise type −10 dB −5 dB 0 dB 5 dB 10 dB
White 2.85 0.69 0 0 0.87
Pink 4.49 0.64 0 0 1.19
Tank 2.32 0 1.59 2.20 2.17
Military vehicle 2.36 2.59 2.62 2.82 3.31
Jet cockpit 0 0 0 0 1.36
HF channel 1.15 0 0.57 1.02 2.27
F-16 cockpit 0 0 0.10 1.94 2.30
Factory floor 6.04 7.35 7.59 7.04 6.25
Car interior 2.33 2.82 3.16 2.33 2.21
Machine gun 12.45 11.33 9.83 8.74 7.56
Speech babble 2.11 0 2.068 0 0
Speech shaped 3.80 0 0 0 1.84
  1. The numbers are the points that worse (higher error value) than utilizing the best (M, R) combination for each noise type and SNR level shown in the subfigures.