2016:Audio Downbeat Estimation Results

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Submitted Algorithms

Algorithms submitted to the Automatic Downbeat Estimation task
Submission code Submission name Abstract Contributors
DBDR2 DB1_no_ballroom PDF Simon Durand, Juan Bello, Bertrand David, Gael Richard
DBDR3 DB2_no_beatles PDF Simon Durand, Juan Bello, Bertrand David, Gael Richard
FK2 mixed_no_ballroom PDF Florian Krebs, Sebastian Böck
FK3 mixed_no_beatles PDF Florian Krebs, Sebastian Böck
FK4 carnatic_tracker PDF Florian Krebs, Sebastian Böck
FK6 2014_FK4_new_ss PDF Florian Krebs, Sebastian Böck

Results

Results ballroom dataset
Algorithm F-Measure Precision Recall
DBDR1 0.838 0.874 0.846
DBDR2 0.783 0.808 0.804
BK4 0.908 0.906 0.917
CD4 0.412 0.416 0.419
DSR1 0.463 0.476 0.468
KB1 0.898 0.888 0.917
KB2 0.860 0.853 0.890
Results beatles dataset
Algorithm F-Measure Precision Recall
DBDR1 0.849 0.861 0.868
DBDR2 0.872 0.861 0.909
BK4 0.865 0.872 0.876
CD4 0.604 0.586 0.642
DSR1 0.665 0.646 0.708
KB1 0.803 0.776 0.859
KB2 0.818 0.799 0.870


Results carnatic dataset
Algorithm F-Measure Precision Recall
DBDR2 0.221 0.195 0.297
DBDR3 0.216 0.193 0.289
FK2 0.154 0.133 0.205
FK3 0.166 0.144 0.225
FK4 0.474 0.480 0.482
FK6 0.197 0.160 0.285


Results turkish dataset
Algorithm F-Measure Precision Recall
DBDR2 0.472 0.445 0.579
DBDR3 0.446 0.409 0.558
FK2 0.289 0.247 0.393
FK3 0.298 0.249 0.423
FK4 0.142 0.145 0.151
FK6 0.284 0.232 0.426


Results cretan dataset
Algorithm F-Measure Precision Recall
DBDR2 0.415 0.640 0.307
DBDR3 0.449 0.693 0.332
FK2 0.151 0.226 0.113
FK3 0.167 0.249 0.125
FK4 0.233 0.382 0.176
FK6 0.529 0.791 0.398


Results hjdb dataset
Algorithm F-Measure Precision Recall
DBDR2 0.691 0.725 0.676
DBDR3 0.682 0.705 0.672
FK2 0.794 0.795 0.794
FK3 0.824 0.824 0.823
FK4 0.120 0.232 0.096
FK6 0.626 0.627 0.625

*) Rows marked by an asterisk should be taken with care as in those cases overlapping test and training sets were used.

Runtime

All submissions finished the computations in less than 24 hours.