Result Details

Zero-Cost Speech Recognition Task at Mediaeval 2016

SZŐKE, I.; ANGUERA, X. Zero-Cost Speech Recognition Task at Mediaeval 2016. In CEUR Workshop Proceedings. CEUR Workshop Proceedings. Hilversum: CEUR-WS.org, 2016. no. 1739, p. 1-3. ISSN: 1613-0073.
Type
conference paper
Language
English
Authors
Szőke Igor, Ing., Ph.D., DCGM (FIT)
Anguera Xavier
Abstract

The main goal of the Zero-Cost Speech Recognition task isto bring researchers together on the topic of training ASRsystems using only publicly available data. In particular,the task consists on the development of either an LVCSRor a subword speech recognizer on a given target language.For this year we selected Vietnamese as the target languageThe organizers provided participants several sets of pub-licly available data combined with one proprietary set gath-ered for this evaluation. Participants are free to find anduse other publicly available resources (free for research pur-poses). These resources must be shared with other partici-pants till end of July. The data-set for the evaluation is thenfixed and no outside data can be used.

Keywords

speech recognition, zero cost

URL
Published
2016
Pages
1–3
Journal
CEUR Workshop Proceedings, vol. 2016, no. 1739, ISSN 1613-0073
Proceedings
CEUR Workshop Proceedings
Conference
MediaEval 2016
Publisher
CEUR-WS.org
Place
Hilversum
EID Scopus
2-s2.0-85006265974
BibTeX 
@inproceedings{BUT163809,
  author="Igor {Szőke} and Xavier {Anguera}",
  title="Zero-Cost Speech Recognition Task at Mediaeval 2016",
  booktitle="CEUR Workshop Proceedings",
  year="2016",
  journal="CEUR Workshop Proceedings",
  volume="2016",
  number="1739",
  pages="1--3",
  publisher="CEUR-WS.org",
  address="Hilversum",
  issn="1613-0073",
  url="https://www.fit.vut.cz/research/publication/12269/"
}
Files
Projects
Big speech data analytics for contact centers, EU, Horizon 2020, start: 2015-01-01, end: 2017-12-31, completed
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
Back to top