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Table 5 Multi-condition (MC) classification results of different algorithms with context voting ensemble learning (-v) at the second-stage TsEL (unit: %)

From: Robust sound event classification with bilinear multi-column ELM-AE and two-stage ensemble learning

 

Clean

20 dB

10 dB

0 dB

Mean

DNN

96.90

96.90

93.20

80.40

91.85

ELM

93.34 ± 0.60

91.55 ± 0.57

89.22 ± 0.91

79.78 ± 1.62

88.47 ± 0.93

ELM-AE

94.23 ± 0.76

93.38 ± 1.49

91.65 ± 0.76

86.88 ± 1.60

91.54 ± 1.15

B-ELM-AE

97.38 ± 0.47

96.58 ± 0.47

95.10 ± 0.62

90.05 ± 1.35

94.78 ± 0.73

MC-ELM-AE-C

95.48 ± 0.63

94.70 ± 0.38

93.18 ± 0.91

88.73 ± 1.02

93.02 ± 0.74

MC-ELM-AE-TsEL-V

95.35 ± 0.57

94.35 ± 0.48

93.28 ± 0.82

89.00 ± 1.30

92.99 ± 0.79

MC-ELM-AE-TsEL-W

96.63 ± 0.31

95.35 ± 1.01

93.63 ± 1.02

89.50 ± 1.42

93.78 ± 0.94

B-MC-ELM-AE-C

97.13 ± 0.49

96.43 ± 0.62

94.88 ± 1.00

89.68 ± 0.97

94.53 ± 0.77

B-MC-ELM-AE-TsEL-V

97.33 ± 0.50

96.55 ± 0.60

95.38 ± 0.76

90.55 ± 0.72

94.95 ± 0.65

B-MC-ELM-AE-TsEL-W

98.03 ± 0.36

97.40 ± 0.31

96.28 ± 1.05

91.53 ± 0.84

95.81 ± 0.64