Papers › The SPL-IT Query by Example Search on Speech system for MediaEval 2014
The SPL-IT Query by Example Search on Speech system for MediaEval 2014
Jorge Proença, Arlindo Veiga, Fernando Perdigão
This document briefly describes the system submitted by the Speech Processing Lab of Instituto de Telecomunicações, pole of Coimbra (SPL-IT) to the Query by Example Search on Speech Task (QUESST) of MediaEval 2014. Our approach is based on merging results of a phoneme recognition system using three different languages. A version of Dynamic Time Warping (DTW) using posteriorgram distances was created to allow finding some of the peculiar search cases of this task. Our primary submission merges two approaches: simple DTW for detecting entire queries and a version where cutting final portions of queries is allowed. The late submission merges 5 approaches that account for all the search possibilities described for the task, though improved results were only observed in the evaluation dataset for type 3 queries.
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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 | SPL-IT(for the development set) | ATWV | 0.4051 | #7 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | SPL-IT(for the development set) | Cnxe | 0.7106 | #7 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | SPL-IT(for the development set) | MTWV | 0.4052 | #7 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | SPL-IT(for the development set) | MinCnxe | 0.5881 | #7 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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