Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

RIV year

2015

Released

19. 4. 2015

Publisher

IEEE Signal Processing Society

Location

South Brisbane, Queensland

ISBN

978-1-4673-6997-8

Book

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

Pages from

5833

Pages to

5837

Pages count

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"
}