Papers › CUHK System for QUESST Task of MediaEval 2014

CUHK System for QUESST Task of MediaEval 2014

16 Oct 2014archive 2025-07-28

Haipeng Wang, Tan Lee

This paper describes a spoken keyword search system developed at the Chinese University of Hong Kong (CUHK) for the query by example search on speech (QUESST) task of MediaEval 2014. This system utilizes posterior features and dynamic time warping (DTW) for keyword matching. Multiple types of posterior features are generated with different tokenizers, and then fused by a linear combination on the DTW distance matrices. The main contribution of this year’s system is a multiview segment clustering (MSC) approach for unsupervised ASM tokenizer construction. The Cnxe and ATWV of our submitted results on the Evaluation set are 0.682 and 0.412, respectively.

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Tasks

ClusteringDynamic Time WarpingKeyword Spotting

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Keyword Spotting QUESST CUHK(all the queries) System №2 ATWV 0.412 #3 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №2 Cnxe 0.638 #3 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №2 MTWV 0.413 #3 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №2 MinCnxe 0.585 #3 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №1 ATWV 0.412 #5 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №1 Cnxe 0.682 #5 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №1 MTWV 0.413 #5 of 69 Archive leaderboard report
Keyword Spotting QUESST CUHK(all the queries) System №1 MinCnxe 0.659 #5 of 69 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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