Papers › IIIT-H System for MediaEval 2014 QUESST
IIIT-H System for MediaEval 2014 QUESST
Santosh Kesiraju, Gautam Mantena, Kishore Prahallad
This paper describes the experiments and observations for Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014. In this paper, we describe two different representations of speech that were explored for the task. We also show the capabilities and limitations of non-segmental dynamic time warping (NS-DTW) technique for searching various types of queries. This paper mainly focuses on the experiments and analysis of the existing NS-DTW algorithm for various types of queries. The observations show that for a specific representation of speech, the algorithm is capable of detecting partial matches
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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 | NS-DTW(for the development set, all the queries) | ATWV | 0.2261 | #29 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | NS-DTW(for the development set, all the queries) | Cnxe | 0.9121 | #29 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | NS-DTW(for the development set, all the queries) | MTWV | 0.2263 | #29 of 69 | Archive leaderboard | report |
| Keyword Spotting | QUESST | NS-DTW(for the development set, all the queries) | MinCnxe | 0.8070 | #29 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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