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Table 11 The best retrieval performances obtained by 25 consecutive EFS runs

From: An evolutionary feature synthesis approach for content-based audio retrieval

FS

Basic database (6 classes)

Extended database (12 classes)

ANMRR (run no.)

AP (%) (run no.)

ANMRR (run no.)

AP (%) (run no.)

Segment

STAT

0.134 (run 7)

85.8 (run 7)

0.380 (run 23)

60.4 (run 23)

MFCC

0.181 (run 6)

80.9 (run 6)

0.333 (run 22)

65.3 (run 22)

Δ-MFCC

0.235 (run 16)

76.0 (run 16)

0.514 (run 7)

47.0 (run 7)

ΔΔ-MFCC

0.258 (run 10)

73.2 (run 10)

0.467 (run 10)

51.4 (run 10)

LPC

0.446 (run 22)

54.3 (run 22)

0.673 (run 2)

31.4 (run 2)

LPCC

0.521 (run 24)

47.3 (run 24)

0.710 (run 1)

27.7 (run 1)

S_AUDIO

0.135 (run 3)

85.6 (run 3)

0.386 (run 25)

60.0 (run 25)

Key-frame

MFCC + deltas

0.346 (run 4)

63.3 (run 4)

0.462 (run 2)

51.4 (run 2)

LPC + LPCC

0.638 (run 2)

35.0 (run 2)

0.757 (run 2)

23.3 (run 2)

K_AUDIO

0.251 (run 2)

72.5 (run 2)

0.426 (run 10)

55.6 (run 16)