Detail publikačního výsledku

Query-by-example Spoken Term Detection Evaluation on Low-resource Languages

ANGUERA, X.; RODRIGUEZ-FUENTES, L.; SZŐKE, I.; BUZO, A.; METZE, F.

Originální název

Query-by-example Spoken Term Detection Evaluation on Low-resource Languages

Anglický název

Query-by-example Spoken Term Detection Evaluation on Low-resource Languages

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

benchmark evaluation, low-resource languages,query-by-example spoken term detection

Klíčová slova v angličtině

benchmark evaluation, low-resource languages,query-by-example spoken term detection

Autoři

ANGUERA, X.; RODRIGUEZ-FUENTES, L.; SZŐKE, I.; BUZO, A.; METZE, F.

Vydáno

14.05.2014

Nakladatel

International Speech Communication Association

Místo

St. Petersburg

ISBN

978-5-8088-0908-6

Kniha

Proceedings of the 4th International Workshop on Spoken Language Technologies for Under- resourced Languages SLTU-2014. – St. Petersburg, Russia

Strany od

24

Strany do

31

Strany počet

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"
}