Keyword Spotting On Quesst

Metrics

Cnxe

MinCnxe

Results

Performance results of various models on this benchmark

			Paper Title
CUNY [SMO+iSAX] (dev)	0.9988	0.9872	CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
CUNY [SMO+iSAX] (eval)	0.9989	0.9870	CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
CUNY [Subseq+MFCC] (eval)	1.0674	0.9853	CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
CUNY [Subseq+MFCC] (dev)	1.0658	0.9823	CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
NNI Choi(for the development set)	5.8940	0.9595	The NNI Query-by-Example System for MediaEval 2014
NNI non-filtered(for the development set)	6.0905	0.9571	The NNI Query-by-Example System for MediaEval 2014
TUKE g-U late submission (eval)	0.974	0.954	TUKE at MediaEval 2015 QUESST
TUKE p-S (eval)	0.971	0.953	TUKE at MediaEval 2015 QUESST
TUKE g-U (dev)	0.974	0.953	TUKE at MediaEval 2015 QUESST
TUKE g-U (eval)	0.973	0.953	TUKE at MediaEval 2015 QUESST
TUKE g-U late submission (dev)	0.970	0.951	TUKE at MediaEval 2015 QUESST
TUKE p-S (dev)	0.970	0.947	TUKE at MediaEval 2015 QUESST
TUKE p-S late submission (eval)	0.963	0.940	TUKE at MediaEval 2015 QUESST
TUKE p-S late submission (dev)	0.962	0.940	TUKE at MediaEval 2015 QUESST
IIT-B (eval)	0.9536	0.9364	The IIT-B Query-by-Example System for MediaEval 2015
TUKE g-zero(for the development set)	0.974	0.934	TUKE System for MediaEval 2014 QUESST
ELiRF SDTW (eval)	1.1879	0.9338	ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST)
BUT (g-LID)	-	0.929	BUT QUESST 2014 System Description
GTM-UVigo Contrastive (eval)	0.999	0.923	GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015
TUKE g-zero late submission(for the development set)	0.971	0.922	TUKE System for MediaEval 2014 QUESST

0 of 69 row(s) selected.

Command Palette

Keyword Spotting On Quesst

Metrics

Results