MIREX 2015: Audio Train/Test: Mood Classification - MIREX08 Dataset

Accuracy per Class


Legend

CYC1
CK
PDF
Kang Cai, Deshun Yang, Xiaoou Chen
CYC2
CK2
PDF
Kang Cai, Deshun Yang, Xiaoou Chen
CYC3
CK3
PDF
Kang Cai, Deshun Yang, Xiaoou Chen
LK2
Audio classification
PDF
Gyuha Lee, Moo Young Kim
LK3
Audio Classification
PDF
Gyuha Lee, Moo Young Kim
TL2
RP ConvNet 1 genre
PDF
Thomas Lidy


Accuracy per Class    [top]

cluster1
47.5000
47.5000
28.3333
60.8333
49.1667
32.5000
cluster2
42.5000
40.0000
36.6667
50.0000
48.3333
57.5000
cluster3
76.6667
75.0000
75.8333
78.3333
78.3333
65.0000
cluster4
53.3333
55.0000
51.6667
64.1667
55.8333
33.3333
cluster5
75.8333
75.0000
76.6667
77.5000
80.8333
64.1667