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

Accuracy per Fold


Legend

AP1
APDeepLearning
PDF
Aggelos Pikrakis
BBLJK1
2012Classification
PDF
Karam Byun, Seung Ryoel Baek, Jong-Seol Lee, SEI-JIN JANG, Moo Young Kim
BBLJK2
GenreClassification
PDF
Karam Byun, Seung Ryoel Baek, Jong-Seol Lee, SEI-JIN JANG, Moo Young Kim
BBLJK3
MoodClassification
PDF
Karam Byun, Seung Ryoel Baek, Jong-Seol Lee, SEI-JIN JANG, Moo Young Kim
BBLJK4
MoodClassification2
PDF
Karam Byun, Seung Ryoel Baek, Jong-Seol Lee, SEI-JIN JANG, Moo Young Kim
BBLJK5
MoodClassification2
PDF
Karam Byun, Seung Ryoel Baek, Jong-Seol Lee, SEI-JIN JANG, Moo Young Kim
CJ1
CC1
PDF
Pei-Hsuan Chou, Jyh-Shing Roger Jang
CJ2
CC2
PDF
Pei-Hsuan Chou, Jyh-Shing Roger Jang
DM3
DM3
PDF
Franz de Leon, Kirk Martinez
DM4
DM4
PDF
Franz de Leon, Kirk Martinez
DS1
smacpy baseline
PDF
Dan Stowell
JJ1
WR1
PDF
Ming-Ju Wu, Jyh-Shing Roger Jang
JJ2
WR2
PDF
Ming-Ju Wu, Jyh-Shing Roger Jang
SSKS1
cbmr_genre_2011_resubmission
PDF
Klaus Seyerlehner, Markus Schedl, Peter Knees, Reinhard Sonnleitner


Accuracy per Fold    [top]

0
0.6732
0.7045
0.6732
0.4037
0.5119
0.4318
0.6526
0.6786
0.6948
0.7121
0.4394
0.6504
0.6483
0.6548
1
0.6656
0.7035
0.6342
0.4167
0.5065
0.4080
0.6450
0.6591
0.6753
0.6981
0.4188
0.6515
0.6537
0.6775
2
0.1602
0.6829
0.6342
0.3853
0.5076
0.3950
0.6623
0.6623
0.6721
0.6991
0.4491
0.6580
0.6613
0.6677