MIREX 2014: Audio Train/Test: K-POP Mood Classification (Annotated by Korean Annotators)

Accuracy per Class


Legend

BK1
BK1
PDF
Seung Ryoel Baek, Moo Young Kim
BK2
BK2
PDF
Seung Ryoel Baek, Moo Young Kim
BK3
BK3
PDF
Seung Ryoel Baek, Moo Young Kim
BK4
BK4
PDF
Seung Ryoel Baek, Moo Young Kim
QK2
music genre classification
PDF
Qiuqiang Kong
SS6
cbmr_genre_2014_submission
PDF
Klaus Seyerlehner, Markus Schedl
SSKS1
cbmr_genre_2011_resubmission
PDF
Klaus Seyerlehner, Markus Schedl, Peter Knees, Reinhard Sonnleitner
WJ2
MJ1
PDF
Ming-Ju Wu, Jyh-Shing Roger Jang
XG2
GYTXSM
PDF
Shumin Xu, yating gu
XG3
GYTXSM1
PDF
Shumin Xu, yating gu


Accuracy per Class    [top]

cluster1
54.2274
61.8076
59.4752
49.5627
55.1020
56.8513
57.1429
58.6006
69.9708
69.6793
cluster2
40.0000
26.5882
23.0588
8.0000
22.8235
39.5294
39.0588
35.7647
28.9412
28.9412
cluster3
75.4331
85.5118
89.1339
98.8976
92.1260
69.6063
69.7638
85.5118
82.0472
82.0472
cluster4
0.0000
0.0000
0.0000
0.0000
0.0000
8.0000
8.0000
0.0000
0.0000
0.0000
cluster5
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0000