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Table 3 Results for valence-based classification and regression on SEMAINE

From: Within and cross-corpus speech emotion recognition using latent topic model-based features

Metric

IS09

VQ

LDA

sLDA

RSM

sRSM

 

Development set

 

WA

59.61

58.33

63.03

64.10

65.50

66.45

UA

57.64

56.51

58.86

61.96 †

63.53 ∗†

64.62 ∗†

COR

0.191

0.191

0.330

0.332

0.327

0.349

 

Test set

 

WA

49.93

51.56

55.13

57.21

56.32

57.80

UA

49.68

51.54

56.12 ∗

57.63 ∗†

56.88 ∗†

58.00 ∗†

COR

0.007

0.045

0.128

0.154

0.127

0.171

  1. Classification results are expressed in percentage (%). Symbols ∗ and † indicate statistical significance over IS09 and VQ, respectively.