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Table 5 Accuracy performance of emotion recognition [%] without selection (–) in comparison with two different selection methods (FMS and SFS) and extraction (S-PCA) methods using SVM algorithm as a classifier

From: Efficiency of chosen speech descriptors in relation to emotion recognition

 

Acted speech

Natural speech

 

SFS

FMS

S-PCA

SFS

FMS

S-PCA

f 0

19.66

19.66

19.66

34.17

26.98

26.98

26.98

52.55

f 1f 3

27.5

27.5

25.31

40.92

16.877

17.29

27.5

57.38

Energy

29.95

29.95

29.95

35.86

46.87

46.87

47.72

53.97

LPC

29.91

32.49

32.06

32.06

60.51

65.35

60.79

64.20

BFCC

40.92

47.67

46.83

56.11

59.4

62.53

59.40

81.7

MFCC

40.5

45.14

41.35

54.96

58.31

63.48

58.31

77.92

HFCC

39.66

46.83

40.08

57.38

55.17

56.13

55.17

77.79

PLP

22.47

22.47

22.47

46.83

21.51

22.36

22.47

73.56

RPLP

43.88

44.72

44.72

57.80

54.76

59.12

54.76

70.31

RASTA

36.28

39.66

36.28

51.9

50

60.04

62.53

73.84