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 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

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"
}