Papers › BUT QUESST 2014 System Description

BUT QUESST 2014 System Description

16 Oct 2014archive 2025-07-28

Igor Szöke, Miroslav Skácel, Lukáš Burget

The primary system we submitted was composed of 11 subsystems as the required run. 3 subsystems are based on Acoustic Keyword Spotting (AKWS) and 8 on Dynamic Time Warping (DTW). The AKWS systems were based only on phoneme posteriors while the DTW subsystems were based on both phoneme posteriors and Bottle-Neck features (BN) as input. The underlying phoneme posterior estimators / bottle-neck feature extractors were both in-language (Czech) and out-of-language (other 4 languages). We also performed experiments on T1/T2/T3 types of query, system calibration and fusion based on binary logistic regression

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Tasks

Dynamic Time WarpingKeyword Spottingregression

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Keyword Spotting QUESST BUT (p-bigfusion) MinCnxe 0.461 #64 of 69 Archive leaderboard report
Keyword Spotting QUESST BUT (g-bigfusionnoside ) MinCnxe 0.486 #65 of 69 Archive leaderboard report
Keyword Spotting QUESST BUT (g-best_single) MinCnxe 0.533 #66 of 69 Archive leaderboard report
Keyword Spotting QUESST BUT (AKWS-cz) MinCnxe 0.641 #67 of 69 Archive leaderboard report
Keyword Spotting QUESST BUT (AKWS-T3-cz) MinCnxe 0.673 #68 of 69 Archive leaderboard report
Keyword Spotting QUESST BUT (g-LID) MinCnxe 0.929 #69 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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