HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
首页
SOTA
关键词定位
Keyword Spotting On Quesst
Keyword Spotting On Quesst
评估指标
Cnxe
MinCnxe
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Cnxe
MinCnxe
Paper Title
Repository
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.
Previous
Next
Keyword Spotting On Quesst | SOTA | HyperAI超神经