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Table 4 Music classification results on various datasets obtained by employing a few labeled music recordings

From: Music classification by low-rank semantic mappings

Method Features   Music Genre    Music Mood: MTV
  GTZAN ISMIR Homburg 1517-Artists Unique Arousal Valence
LRSMs Fusion cmc 72.02(1.97) 74.05 (1.69) 57.02 (0.44) 41.03 (1.45) 68.68 (0.52) 62.76(1.57) 56.28 (1.18)
  Fusion cm 71.73 (1.79) 73.28 (1.47) 57.02 (0.44) 41.03 (1.45) 68.55 (0.66) 62.76 (1.57) 57.74 (1.42)
SRC Fusion cmc 69.91 (1.57) 72.36 (1.69) 53.63 (0.62) 35.92 (0.85) 67.83 (1.11) 60.29 (1.68) 58.19 (2.00)
  Fusion cm 68.33 (2.21) 72.33 (1.30) 53.48 (0.83) 35.82 (0.89) 67.70 (1.19) 60.46 (1.40) 58.25 (2.33)
SVMs Fusion cmc 70.84 (1.41) 72.55 (1.43) 55.39 (0.86) 37.83 (1.10) 69.85 (0.68) 55.24 (0.88) 57.81 (1.17)
  Fusion cm 70.33 (1.53) 64.78 (0.86) 55.43 (0.78) 37.60 (1.00) 69.46 (0.66) 55.12 (0.87) 57.88 (1.79)
NN Fusion cmc 63.01 (3.18) 71.07 (1.34) 45.02 (1.19) 29.95 (1.52) 59.49 (1.49) 59.14 (1.77) 55.43 (1.21)
  Fusion cm 61.63 (3.11) 70.89 (1.10) 44.84 (1.34) 29.76 (1.42) 59.41 (1.47) 59.10 (1.47) 55.42 (1.59)
  1. The best results are indicated in italics.