Publication detail
Query-by-example Spoken Term Detection Evaluation on Low-resource Languages
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 performancemeasures of the SWS 2013 evaluation, we have analyzedthe results obtained by the submitted systems and presented a postevaluationstudy where the 10 best-performing systems were incrementallyfused (at the score level), obtaining a 30%relative improvementover the best-performing individual system, proving the benefitsof combining independent or complementary sources of informationor different modeling approaches.Given the increasing interest for this task in the community, weare already planning a new edition of the SWS evaluation, renamedQUESST, i.e. Query by Example Spoken Search Task, within theMediaeval 2014 benchmark campaign. This year, we will continuetackling the problem of low-resource settings and will introduce acomponent of variability between queries and references, allowingfor a limited amount of acoustic insertions to still be consideredmatches.
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
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"
}