Research Article

Classifying Human Voices by Using Hybrid SFX Time-Series Preprocessing and Ensemble Feature Selection

Table 10

Overall averaged time cost comparison.

TimePreprocessingFSBuild ModelTotal
DatasetLPC2CCDSDTWPiecewise

FM10 s5 m 23 s15 m 3 s32 mCFS0.78 s1.13 s52 m 37.9 s
ChiSq2.867 s52 m 40 s
MRMR3.56 s52 m 40.7 s
WSA31.275 s53 m 18.4 s

ES9.5 s9 m 35 s21 m 38 s1 h 13 mCFS1.03 s1.25 s1 h 44 m 24.8 s
ChiSq3.328 s1 h 44 m 27.1 s
MRMR1.439 s1 h 44 m 25.2 s
WSA441.476 s1 h 51 m 45.2 s

SI15.8 s25 m 6 s38 m 23 s2 h 14 mCFS1.91 s1.7 s3 h 17 m 48.4 s
ChiSq3.815 s3 h 17 m 50.3 s
MRMR3.26 s3 h 17 m 49.8 s
WSA3585 s4 h 17 m 31.5 s

LR13.4 s16 m 48 s42 m 45 s1 h 57 mCFS1.39 s1.56 s2 h 56 m 49.4 s
ChiSq2.17 s2 h 56 m 50.1 s
MRMR4.8 s2 h 56 m 52.8 s
WSA906 s3 h 11 m 54 s