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Keyword Spotting On Quesst

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Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
CUNY [SMO+iSAX] (dev)0.99880.9872CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
CUNY [SMO+iSAX] (eval)0.99890.9870CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
CUNY [Subseq+MFCC] (eval)1.06740.9853CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
CUNY [Subseq+MFCC] (dev)1.06580.9823CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
NNI Choi(for the development set)5.89400.9595The NNI Query-by-Example System for MediaEval 2014
NNI non-filtered(for the development set)6.09050.9571The NNI Query-by-Example System for MediaEval 2014
TUKE g-U late submission (eval)0.9740.954TUKE at MediaEval 2015 QUESST
TUKE p-S (eval)0.9710.953TUKE at MediaEval 2015 QUESST
TUKE g-U (dev)0.9740.953TUKE at MediaEval 2015 QUESST
TUKE g-U (eval)0.9730.953TUKE at MediaEval 2015 QUESST
TUKE g-U late submission (dev)0.9700.951TUKE at MediaEval 2015 QUESST
TUKE p-S (dev)0.9700.947TUKE at MediaEval 2015 QUESST
TUKE p-S late submission (eval)0.9630.940TUKE at MediaEval 2015 QUESST
TUKE p-S late submission (dev)0.9620.940TUKE at MediaEval 2015 QUESST
IIT-B (eval)0.95360.9364The IIT-B Query-by-Example System for MediaEval 2015
TUKE g-zero(for the development set)0.9740.934TUKE System for MediaEval 2014 QUESST
ELiRF SDTW (eval)1.18790.9338ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST)
BUT (g-LID)-0.929BUT QUESST 2014 System Description
GTM-UVigo Contrastive (eval)0.9990.923GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
TUKE g-zero late submission(for the development set)0.9710.922TUKE System for MediaEval 2014 QUESST
0 of 69 row(s) selected.
Keyword Spotting On Quesst | SOTA | HyperAI