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HyperAI초신경
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Keyword Spotting On Quesst
Keyword Spotting On Quesst
평가 지표
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모델 이름
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MinCnxe
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
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