MIREX 2013: Audio Train/Test: Classical Composer Identification - MIREX08 Dataset


Accuracy per Class


Legend

AP1
APDeepLearning
BBLJK1
2012Classification
BBLJK2
GenreClassification
BBLJK3
MoodClassification
BBLJK4
MoodClassification2
BBLJK5
MoodClassification2
CJ1
CC1
CJ2
CC2
DM3
DM3
DM4
DM4
DS1
smacpy baseline
JJ1
WR1
JJ2
WR2
SSKS1
cbmr_genre_2011_resubmission


Accuracy per Class    [top]

bach
64.6825
83.3333
80.5556
58.3333
65.4762
55.5556
80.5556
83.7302
83.7302
80.9524
56.7460
82.1429
82.1429
80.1587
beethoven
60.3175
70.2381
55.9524
32.9365
48.0159
36.1111
57.5397
60.3175
60.3175
67.0635
25.0000
60.7143
61.1111
60.7143
brahms
54.7619
62.3016
61.5079
29.7619
33.7302
33.3333
61.5079
58.3333
64.2857
65.0794
26.9841
59.1270
58.7302
65.0794
chopin
69.0476
87.3016
80.9524
72.2222
84.5238
73.8095
84.9206
86.5079
82.1429
82.1429
87.6984
83.3333
84.1270
88.0952
dvorak
46.4286
65.4762
60.7143
31.3492
46.0317
38.4921
60.7143
61.9048
55.5556
57.5397
28.9683
59.1270
58.3333
60.7143
handel
53.9683
71.4286
67.4603
38.0952
50.3968
31.3492
67.0635
69.8413
68.6508
71.0317
56.7460
72.2222
72.2222
65.8730
haydn
40.0794
73.8095
67.4603
42.4603
58.3333
45.6349
68.2540
72.2222
75.0000
79.3651
62.3016
69.8413
70.2381
70.6349
mendelssohnn
31.3492
61.9048
56.3492
34.9206
44.4444
35.7143
58.3333
57.1429
62.6984
65.4762
32.1429
51.5873
51.9841
55.1587
mozart
41.6667
53.5714
53.1746
26.1905
36.5079
21.0317
50.0000
52.7778
51.9841
56.3492
14.6825
52.7778
53.1746
53.5714
schubert
45.6349
60.7143
53.1746
29.7619
33.7302
33.7302
56.7460
56.7460
65.0794
67.8571
25.0000
55.9524
55.5556
55.5556
vivaldi
41.6667
76.5873
74.6032
46.0317
58.3333
48.0159
73.0159
73.8095
79.3651
80.5556
63.0952
71.8254
72.2222
77.7778