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Table 2 Eightfold cross-validation result of the fingering detection system

From: Detecting fingering of overblown flute sound using sparse feature learning

   SVM Random forest
Note Feature (dim.) P f  ± σ 2 Pf P f  ± σ2 Pf (Mp) P f  ± σ2 Pf P f  ± σ 2 Pf (Mp)
C5 MFCCs (39) 9.87 ± 1.57 8.07 ± 1.00 14.91 ± 1.91 12.20 ± 1.05
SF (39) 0.55 ± 0.47 0.20 ± 0.27 0.68 ± 0.52 0.13 ± 0.24
SF (1024) 0.26 ± 0.24 0.00 ± 0.00 0.36 ± 0.24 0.07 ± 0.19
D5 MFCCs (39) 7.43 ± 1.30 8.21 ± 0.82 10.16 ± 1.59 10.20 ± 2.42
SF (39) 2.20 ± 0.78 1.41 ± 1.12 1.48 ± 0.54 0.40 ± 0.51
SF (1024) 1.67 ± 0.72 1.18 ± 0.68 1.00 ± 0.36 0.39 ± 0.38
C6 MFCCs (39) 8.47 ± 0.86 6.91 ± 1.48 11.78 ± 1.59 8.91 ± 0.82
SF (39) 2.08 ± 0.88 1.50 ± 0.80 1.30 ± 0.50 0.67 ± 0.40
SF (1024) 0.76 ± 0.42 0.13 ± 0.17 0.56 ± 0.34 0.04 ± 0.12
C#6 MFCCs (39) 7.01 ± 0.62 5.47 ± 0.90 9.31 ± 1.01 6.02 ± 0.98
SF (39) 1.39 ± 0.72 1.07 ± 0.82 1.26 ± 0.52 0.56 ± 0.33
SF (1024) 0.31 ± 0.29 0.08 ± 0.15 0.29 ± 0.27 0.04 ± 0.11
E6 MFCCs (39) 6.36 ± 0.78 4.56 ± 0.90 7.43 ± 0.96 4.80 ± 1.27
SF (39) 2.35 ± 0.79 1.74 ± 0.76 2.03 ± 0.46 1.31 ± 0.51
SF (1024) 1.06 ± 0.48 1.11 ± 0.30 1.02 ± 0.37 0.34 ± 0.24
G6 MFCCs (39) 13.80 ± 1.14 12.77 ± 1.28 13.76 ± 1.12 10.63 ± 0.96
SF (39) 5.71 ± 1.30 4.49 ± 0.76 4.62 ± 1.26 3.22 ± 0.58
SF (1024) 1.53 ± 0.53 1.06 ± 0.54 1.55 ± 0.36 1.06 ± 0.44
  1. Mean and standard deviations of detection error (P f  ± σ 2 Pf ) probabilities (%) using MFCCs and sparse filtering (SF) for 39 and 1024 units. SVM and random forest were used for the classifications, and probabilities are given for features without and with max-pooling (Mp)