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Table 4 The performance of the model with additional features

From: Automatic segmentation of infant cry signals using hidden Markov models

Features

Acccuracy

F score (%)

 

(%)

Ins

Exp

MFCCs

87.5 ±1.1

41.5 ±2.8

80.6 ±1.4

MFCCs + Δ and ΔΔ

88.6 ±0.9

45.9 ±2.5

82.2 ±1.1

MFCCs + F0

88.5 ±0.9

47.8 ±2.9

81.6 ±1.3

MFCCs + F0 +

88.8 ±0.9

47.1 ±2.5

82.3 ±1.1

Δ and ΔΔ

   

MFCCs + ap0

89.2 ±0.9

48.9 ±2.8

83.3 ±1.3

MFCCs + ap0+

89.0 ± 0.8

47.4 ±2.5

82.8 ±1.2

Δ and ΔΔ

   
  1. The expiratory and inspiratory phase classes are denoted by Exp and Ins, respectively