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
DBDR2	0.756	0.797	0.765
DBDR3*	0.793	0.833	0.801
FK2	0.557	0.566	0.568
FK3*	0.631	0.642	0.638
FK4	0.175	0.197	0.171
FK6*	0.726	0.721	0.743

Results beatles dataset
Algorithm	F-Measure	Precision	Recall
DBDR2*	0.855	0.866	0.874
DBDR3	0.847	0.863	0.862
FK2*	0.713	0.708	0.738
FK3	0.718	0.715	0.739
FK4	0.178	0.191	0.178
FK6	0.665	0.662	0.687

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	0.161	0.140	0.216
FK4	0.474	0.480	0.482
FK6	0.173	0.150	0.232

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	0.290	0.246	0.400
FK4	0.142	0.145	0.151
FK6	0.287	0.239	0.414

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	0.152	0.228	0.114
FK4	0.233	0.382	0.176
FK6	0.423	0.634	0.317

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	0.791	0.791	0.790
FK4	0.120	0.232	0.096
FK6	0.706	0.706	0.706

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

All submissions finished the computations in less than 24 hours.