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ANGUERA, X. RODRIGUEZ-FUENTES, L. SZŐKE, I. BUZO, A. METZE, F.
Original Title
Query-by-example Spoken Term Detection Evaluation on Low-resource Languages
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
In this paper, besides presenting the setup, datasets and performance measures of the SWS 2013 evaluation, we have analyzed the results obtained by the submitted systems and presented a postevaluation study where the 10 best-performing systems were incrementally fused (at the score level), obtaining a 30%relative improvement over the best-performing individual system, proving the benefits of combining independent or complementary sources of information or different modeling approaches. Given the increasing interest for this task in the community, we are already planning a new edition of the SWS evaluation, renamed QUESST, i.e. Query by Example Spoken Search Task, within the Mediaeval 2014 benchmark campaign. This year, we will continue tackling the problem of low-resource settings and will introduce a component of variability between queries and references, allowing for a limited amount of acoustic insertions to still be considered matches.
Keywords
benchmark evaluation, low-resource languages, query-by-example spoken term detection
Authors
ANGUERA, X.; RODRIGUEZ-FUENTES, L.; SZŐKE, I.; BUZO, A.; METZE, F.
RIV year
2014
Released
14. 5. 2014
Publisher
International Speech Communication Association
Location
St. Petersburg
ISBN
978-5-8088-0908-6
Book
Proceedings of the 4th International Workshop on Spoken Language Technologies for Under- resourced Languages SLTU-2014. St. Petersburg, Russia
Pages from
24
Pages to
31
Pages count
8
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2014/anguera_sltu2014_p24_31.pdf
BibTex
@inproceedings{BUT111585, author="Xavier {Anguera} and Luis {Rodriguez-Fuentes} and Igor {Szőke} and Andi {Buzo} and Florian {Metze}", title="Query-by-example Spoken Term Detection Evaluation on Low-resource Languages", booktitle="Proceedings of the 4th International Workshop on Spoken Language Technologies for Under- resourced Languages SLTU-2014. St. Petersburg, Russia", year="2014", pages="24--31", publisher="International Speech Communication Association", address="St. Petersburg", isbn="978-5-8088-0908-6", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2014/anguera_sltu2014_p24_31.pdf" }