Papers › TUKE System for MediaEval 2014 QUESST
TUKE System for MediaEval 2014 QUESST
Jozef Vavrek, Peter Viszlay, Martin Lojka, Matúš Pleva, Jozef Juhár
Two approaches to QbE (Query-by-Example) retrieving system, proposed by the Technical University of Kosice (TUKE)for the query by example search on speech task (QUESST), are presented in this paper. Our main interest was focused on building such QbE system, which is able to retrieve all given queries with and without using any external speech resources. Therefore we developed posteriorgram-based keyword matching system, which utilizes a novel weighted fast sequential variant of DTW (WFS-DTW) algorithm in order to detect occurrences of each query within the particular utterance file, using two GMM-based acoustic units modeling approaches. The first one, referred as low-resource approach, employs language-dependent phonetic decoders to convert queries and utterances into posteriorgrams. The second one, defined as zero-resource approach, implements combination of unsupervised segmentation and clustering techniques by using only provided utterance files.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Keyword Spotting | QUESST | TUKE p-low late submission (for the development set) | ATWV | 0.191 | #34 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low late submission (for the development set) | Cnxe | 0.948 | #34 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low late submission (for the development set) | MTWV | 0.191 | #34 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low late submission (for the development set) | MinCnxe | 0.854 | #34 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low(for the development set) | ATWV | 0.161 | #36 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low(for the development set) | Cnxe | 0.960 | #36 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low(for the development set) | MTWV | 0.162 | #36 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE p-low(for the development set) | MinCnxe | 0.892 | #36 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero late submission(for the development set) | ATWV | 0.106 | #41 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero late submission(for the development set) | Cnxe | 0.971 | #41 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero late submission(for the development set) | MTWV | 0.107 | #41 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero late submission(for the development set) | MinCnxe | 0.922 | #41 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero(for the development set) | ATWV | 0.091 | #44 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero(for the development set) | Cnxe | 0.974 | #44 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero(for the development set) | MTWV | 0.091 | #44 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | TUKE g-zero(for the development set) | MinCnxe | 0.934 | #44 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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