Papers › ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST)

ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST)

16 Oct 2014archive 2025-07-28

Marcos Calvo, Mayte Giménez, Lluís-F. Hurtado, Emilio Sanchis, Jon A. Gómez

In this paper, we present the systems that the Natural Language Engineering and Pattern Recognition group (ELiRF) has submitted to the MediaEval 2014 Query by Example Search on Speech task. All of them are based on a Subsequence Dynamic Time Warping algorithm and do not use any other information from outside the task (zero-resources systems).

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Tasks

Dynamic Time WarpingKeyword Spotting

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Keyword Spotting QUESST ELiRF Fusion+Length(All Queries) ATWV 0.3792 #1 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion+Length(All Queries) Cnxe 0.6023 #1 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion+Length(All Queries) MTWV 0.3801 #1 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion+Length(All Queries) MinCnxe 0.5977 #1 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion(All Queries) ATWV 0.3896 #2 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion(All Queries) Cnxe 0.6125 #2 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion(All Queries) MTWV 0.3952 #2 of 69 Archive leaderboard report
Keyword Spotting QUESST ELiRF Fusion(All Queries) MinCnxe 0.6062 #2 of 69 Archive leaderboard report

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