Eskevich, Maria ORCID: 0000-0002-1242-0753 and Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 (2011) DCU at MediaEval 2011: Rich Speech Retrieval (RSR). In: MediaEval 2011 Multimedia Benchmark Workshop, 1-2 Sept 2011, Pisa, Italy.
Abstract
We describe our runs and results for the Rich Speech Re-
trieval (RSR) Task at MediaEval 2011. Our runs examine
the use of alternative segmentation methods on the provided
ASR transcripts to locate the beginning of the topic, assum-
ing that this will capture or get close to the starting point of the relevant segment; combination of various types of queries and weighting of metadata to move the relevant segment higher in the ranked list; and dierent ASR transcripts to compare the in uence of the ASR transcripts quality. Our results show that newer versions of the transcripts and use of metadata produce better results on average. So far we have not used information about the illocutionary act type corresponding to each query, but analysis of the retrieval results shows dierence in behaviour for queries associated with certatin classes of act.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | Speech search; information retrieval; automatic speech recognition |
Subjects: | Computer Science > Multimedia systems Computer Science > Information retrieval |
DCU Faculties and Centres: | Research Initiatives and Centres > Centre for Digital Video Processing (CDVP) Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | Working Notes Proceedings of the MediaEval 2011 Workshop. Vol-80. CEUR Workshop Proceedings. |
Publisher: | CEUR Workshop Proceedings |
Official URL: | http://ceur-ws.org/Vol-807/ |
Copyright Information: | Copyright is held by the author/owner |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland |
ID Code: | 16892 |
Deposited On: | 16 Apr 2012 10:09 by Gareth Jones . Last Modified 10 Oct 2018 09:21 |
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