| ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST) | | 0.6023 | 0.5977 | 0.3792 | 0.3801 | | | | | | | ELiRF Fusion+Length(All Queries) | 2014-10-16 |
| ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST) | | 0.6125 | 0.6062 | 0.3896 | 0.3952 | | | | | | | ELiRF Fusion(All Queries) | 2014-10-16 |
| CUHK System for QUESST Task of MediaEval 2014 | | 0.638 | 0.585 | 0.412 | 0.413 | | | | | | | CUHK(all the queries) System №2 | 2014-10-16 |
| GTTS-EHU Systems for QUESST at MediaEval 2014 | | 0.6540 | 0.6353 | 0.3567 | 0.3663 | 0.064 | 0.208 | | | | | GTTS-EHU p (for the development set) | 2014-10-16 |
| CUHK System for QUESST Task of MediaEval 2014 | | 0.682 | 0.659 | 0.412 | 0.413 | | | | | | | CUHK(all the queries) System №1 | 2014-10-16 |
| The NNI Query-by-Example System for MediaEval 2014 | | 0.6925 | 0.6816 | 0.2918 | 0.2974 | | | | | | | NNI DTW(All Queries) | 2014-10-16 |
| The SPL-IT Query by Example Search on Speech system for MediaEval 2014 | | 0.7106 | 0.5881 | 0.4051 | 0.4052 | | | | | | | SPL-IT(for the development set) | 2014-10-16 |
| The NNI Query-by-Example System for MediaEval 2014 | | 0.7322 | 0.7293 | 0.2696 | 0.2717 | | | | | | | NNI Symbolic(All Queries) | 2014-10-16 |
| The NNI Query-by-Example System for MediaEval 2015 | | 0.761 | 0.747 | 0.270 | 0.274 | | | | | | | NNI (eval) | 2015-09-14 |
| The NNI Query-by-Example System for MediaEval 2015 | | 0.773 | 0.757 | 0.286 | 0.286 | | | | | | | NNI (dev) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7782 | 0.7716 | | | | | | | | | SPL-IT-UC [All + side-info] (dev) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7842 | 0.7786 | | | | | | | | | SPL-IT-UC [Hmean + side-info] (eval) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7862 | 0.7800 | | | | | | | | | SPL-IT-UC [Hmean + side-info] (dev) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7866 | 0.7809 | | | | | | | | | SPL-IT-UC [All + side-info] (eval) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7873 | 0.7816 | | | | | | | | | SPL-IT-UC [All, no side] (dev) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7914 | 0.7856 | | | | | | | | | SPL-IT-UC [Hmean, no side] (eval) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7930 | 0.7875 | | | | | | | | | SPL-IT-UC [All, no side] (eval) | 2015-09-14 |
| The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015 | | 0.7957 | 0.7893 | | | | | | | | | SPL-IT-UC [Hmean, no side] (dev) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8447 | 0.8124 | | | | | | | | | BUT [l-fea stack DTW+slope+2w3w fusion] (eval) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8452 | 0.8263 | | | | | | | | | BUT [p-fea stack DTW ] (eval) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8490 | 0.8184 | | | | | | | | | BUT [l-fea stack DTW+slope] (eval) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8580 | 0.8426 | | | | | | | | | BUT [p-fea stack DTW ] (dev) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.871 | 0.838 | | | | | | | | 0.592 | GTM-UVigo Primary late submission (eval) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8731 | 0.8321 | | | | | | | | | BUT [l-fea stack DTW+slope+2w3w fusion] (dev) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.875 | 0.847 | | | | | | | | 0.593 | GTM-UVigo Primary late submission (dev) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8772 | 0.8389 | | | | | | | | | BUT [l-fea stack DTW+slope] (dev) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.8884 | 0.8569 | | | | | | | | | BUT [l-fea stack DTW 2w+slope] (dev) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.907 | 0.864 | | | | | | | | 0.618 | GTM-UVigo Contrastive late submission (dev) | 2015-09-14 |
| IIIT-H System for MediaEval 2014 QUESST | | 0.9121 | 0.8070 | 0.2261 | 0.2263 | | | | | | | NS-DTW(for the development set, all the queries) | 2014-10-16 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.917 | 0.905 | | | | | | | | 0.627 | GTM-UVigo Primary (dev) | 2015-09-14 |
| BUT QUESST 2015 System Description | | 0.9188 | 0.8801 | | | | | | | | | BUT [l-fea stack DTW 3w+slope] (dev) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.919 | 0.905 | | | | | | | | 0.629 | GTM-UVigo Primary (eval) | 2015-09-14 |
| The IIT-B Query-by-Example System for MediaEval 2015 | | 0.9213 | 0.9082 | 0.0812 | 0.816 | | | | | | | IIT-B (dev) | 2015-09-14 |
| TUKE System for MediaEval 2014 QUESST | | 0.948 | 0.854 | 0.191 | 0.191 | | | | | | | TUKE p-low late submission (for the development set) | 2014-10-16 |
| The IIT-B Query-by-Example System for MediaEval 2015 | | 0.9536 | 0.9364 | 0.0254 | 0.0421 | | | | | | | IIT-B (eval) | 2015-09-14 |
| TUKE System for MediaEval 2014 QUESST | | 0.960 | 0.892 | 0.161 | 0.162 | | | | | | | TUKE p-low(for the development set) | 2014-10-16 |
| TUKE at MediaEval 2015 QUESST | | 0.962 | 0.940 | 0.055 | 0.059 | | | | | | | TUKE p-S late submission (dev) | 2015-09-14 |
| TUKE at MediaEval 2015 QUESST | | 0.963 | 0.940 | 0.046 | 0.049 | | | | | | | TUKE p-S late submission (eval) | 2015-09-14 |
| TUKE at MediaEval 2015 QUESST | | 0.970 | 0.947 | 0.022 | 0.036 | 0.0061 | 1.874 | 2.312 | 0.250 | 0.068 | | TUKE p-S (dev) | 2015-09-14 |
| TUKE at MediaEval 2015 QUESST | | 0.970 | 0.951 | 0.032 | 0.035 | | | | | | | TUKE g-U late submission (dev) | 2015-09-14 |
| TUKE System for MediaEval 2014 QUESST | | 0.971 | 0.922 | 0.106 | 0.107 | | | | | | | TUKE g-zero late submission(for the development set) | 2014-10-16 |
| TUKE at MediaEval 2015 QUESST | | 0.971 | 0.953 | 0.002 | 0.022 | | | | | | | TUKE p-S (eval) | 2015-09-14 |
| TUKE at MediaEval 2015 QUESST | | 0.973 | 0.953 | -0.01 | 0.023 | | | | | | | TUKE g-U (eval) | 2015-09-14 |
| TUKE System for MediaEval 2014 QUESST | | 0.974 | 0.934 | 0.091 | 0.091 | | | | | | | TUKE g-zero(for the development set) | 2014-10-16 |
| TUKE at MediaEval 2015 QUESST | | 0.974 | 0.953 | 0.0001 | 0.031 | 0.0066 | 2.292 | 0.383 | 0.515 | 0.033 | | TUKE g-U (dev) | 2015-09-14 |
| TUKE at MediaEval 2015 QUESST | | 0.974 | 0.954 | 0.028 | 0.032 | | | | | | | TUKE g-U late submission (eval) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.989 | 0.852 | | | | | | | | 0.613 | GTM-UVigo Contrastive late submission (eval) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.998 | 0.918 | | | | | | | | 0.635 | GTM-UVigo Contrastive (dev) | 2015-09-14 |
| CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | | 0.9988 | 0.9872 | 0.0011 | 0.0067 | | | | | | | CUNY [SMO+iSAX] (dev) | 2015-09-14 |
| CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | | 0.9989 | 0.9870 | 0.0006 | 0.0010 | | | | | | | CUNY [SMO+iSAX] (eval) | 2015-09-14 |
| GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | ✓ Link | 0.999 | 0.923 | | | | | | | | 0.633 | GTM-UVigo Contrastive (eval) | 2015-09-14 |
| ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST) | | 1.0651 | 0.8677 | 0.1446 | 0.1543 | | | | | | | ELiRF SDTW-avg (dev) | 2015-09-14 |
| CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | | 1.0658 | 0.9823 | -3.9820 | 0.0123 | | | | | | | CUNY [Subseq+MFCC] (dev) | 2015-09-14 |
| CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015 | | 1.0674 | 0.9853 | -4.0205 | 0.0006 | | | | | | | CUNY [Subseq+MFCC] (eval) | 2015-09-14 |
| ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST) | | 1.0701 | 0.8702 | 0.1404 | 0.1493 | | | | | | | ELiRF SDTW (dev) | 2015-09-14 |
| ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST) | | 1.0731 | 0.8751 | 0.1125 | 0.1181 | | | | | | | ELiRF SDTW-avg (eval) | 2015-09-14 |
| ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST) | | 1.1879 | 0.9338 | 0.0449 | 0.0581 | | | | | | | ELiRF SDTW (eval) | 2015-09-14 |
| NTU System at MediaEval 2015: Zero Resource Query by Example Spoken Term Detection Using Deep and Recurrent Neural Networks | | 2.0066 | | | | | | | | | | NTU dtw (dev) | 2015-09-14 |
| NTU System at MediaEval 2015: Zero Resource Query by Example Spoken Term Detection Using Deep and Recurrent Neural Networks | | 2.0066 | | | | | | | | | | NTU rnn (dev) | 2015-09-14 |
| NTU System at MediaEval 2015: Zero Resource Query by Example Spoken Term Detection Using Deep and Recurrent Neural Networks | | 2.0067 | | | | | | | | | | NTU dtw (eval) | 2015-09-14 |
| NTU System at MediaEval 2015: Zero Resource Query by Example Spoken Term Detection Using Deep and Recurrent Neural Networks | | 2.0067 | | | | | | | | | | NTU rnn (eval) | 2015-09-14 |
| The NNI Query-by-Example System for MediaEval 2014 | | 5.8940 | 0.9595 | 0.0692 | 0.0692 | | | | | | | NNI Choi(for the development set) | 2014-10-16 |
| The NNI Query-by-Example System for MediaEval 2014 | | 6.0905 | 0.9571 | 0.0768 | 0.0767 | | | | | | | NNI non-filtered(for the development set) | 2014-10-16 |
| BUT QUESST 2014 System Description | | | 0.461 | | | | | | | | | BUT (p-bigfusion) | 2014-10-16 |
| BUT QUESST 2014 System Description | | | 0.486 | | | | | | | | | BUT (g-bigfusionnoside ) | 2014-10-16 |
| BUT QUESST 2014 System Description | | | 0.533 | | | | | | | | | BUT (g-best_single) | 2014-10-16 |
| BUT QUESST 2014 System Description | | | 0.641 | | | | | | | | | BUT (AKWS-cz) | 2014-10-16 |
| BUT QUESST 2014 System Description | | | 0.673 | | | | | | | | | BUT (AKWS-T3-cz) | 2014-10-16 |
| BUT QUESST 2014 System Description | | | 0.929 | | | | | | | | | BUT (g-LID) | 2014-10-16 |