Detail publikace

QUESST 2014: Evaluating Query-By-Example Speech Search in a Zero-Resource

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

Originální název

QUESST 2014: Evaluating Query-By-Example Speech Search in a Zero-Resource

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes the "Query-by-Example Speech Search Task" (QUESST), held as part of the 2014 MediaEval benchmark campaign. The purpose of the evaluation was to perform language independent search on speech by using speech queries.

Klíčová slova

low-resource speech recognition, query-byexample speech search, spoken term detection

Autoři

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

Rok RIV

2015

Vydáno

19. 4. 2015

Nakladatel

IEEE Signal Processing Society

Místo

South Brisbane, Queensland

ISBN

978-1-4673-6997-8

Kniha

Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing

Strany od

5833

Strany do

5837

Strany počet

5

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2015/anguera_icassp2015_0005833.pdf

BibTex

@inproceedings{BUT119900,
  author="Xavier {Anguera} and Luis {Rodriguez-Fuentes} and Andi {Buzo} and Florian {Metze} and Igor {Szőke} and Mikel {Penagarikano}",
  title="QUESST 2014: Evaluating Query-By-Example Speech Search in a Zero-Resource",
  booktitle="Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing",
  year="2015",
  pages="5833--5837",
  publisher="IEEE Signal Processing Society",
  address="South Brisbane, Queensland",
  doi="10.1109/ICASSP.2015.7179090",
  isbn="978-1-4673-6997-8",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2015/anguera_icassp2015_0005833.pdf"
}