Publication Details

Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages

HSIAO, R.; NG, T.; GRÉZL, F.; KARAKOS, D.; TSAKALIDIS, S.; NGUYEN, L.; SCHWARTZ, R. Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages. Proceedings of ASRU 2013. Olomouc: IEEE Signal Processing Society, 2013. p. 440-445. ISBN: 978-1-4799-2755-5.
Czech title
Diskriminativní částečně kontrolované trénování vyhledávání klíčových slov pro jazyky s omezenými zdroji
Type
conference paper
Language
English
Authors
Hsiao Roger (FIT)
Ng Tim
Grézl František, Ing., Ph.D. (DCGM)
Karakos Damianos (FIT)
Tsakalidis Stavros (FIT)
Nguyen Long
Schwartz Richard (FIT)
URL
Keywords

semi-supervised training, low resource languages, keyword spotting

Abstract

This article is about Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages.

Annotation

In this paper, we investigate semi-supervised training for low resource languages where the initial systems may have high error rate ( 70.0% word eror rate). To handle the lack of data, we study semi-supervised techniques including data selection, data weighting, discriminative training and multilayer perceptron learning to improve system performance. The entire suite of semi-supervised methods presented in this paper was evaluated under the IARPA Babel program for the keyword spotting tasks. Our semi-supervised system had the best performance in the OpenKWS13 surprise language evaluation for the limited condition. In this paper, we describe our work on the Turkish and Vietnamese systems.

Published
2013
Pages
440–445
Proceedings
Proceedings of ASRU 2013
ISBN
978-1-4799-2755-5
Publisher
IEEE Signal Processing Society
Place
Olomouc
BibTeX 
@inproceedings{BUT105975,
  author="Roger {Hsiao} and Tim {Ng} and František {Grézl} and Damianos {Karakos} and Stavros {Tsakalidis} and Long {Nguyen} and Richard {Schwartz}",
  title="Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages",
  booktitle="Proceedings of ASRU 2013",
  year="2013",
  pages="440--445",
  publisher="IEEE Signal Processing Society",
  address="Olomouc",
  isbn="978-1-4799-2755-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/hsiao_asru2013_0000440.pdf"
}
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