Conference paperHSIAO Roger, NG Tim, GRÉZL František, KARAKOS Damianos, TSAKALIDIS Stavros, NGUYEN Long and SCHWARTZ Richard. Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages. In: Proceedings of ASRU 2013. Olomouc: IEEE Signal Processing Society, 2013, pp. 440-445. ISBN 978-1-4799-2755-5. | Publication language: | english |
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Original title: | Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages |
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Title (cs): | Diskriminativní částečně kontrolované trénování vyhledávání klíčových slov pro jazyky s omezenými zdroji |
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Pages: | 440-445 |
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Proceedings: | Proceedings of ASRU 2013 |
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Conference: | IEEE 2013 Workshop on Automatic Speech Recognition and Understanding |
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Place: | Olomouc, CZ |
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Year: | 2013 |
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ISBN: | 978-1-4799-2755-5 |
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Publisher: | IEEE Signal Processing Society |
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URL: | http://www.fit.vutbr.cz/research/groups/speech/publi/2013/hsiao_asru2013_0000440.pdf [PDF] |
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Keywords |
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semi-supervised training, low resource
languages, keyword spotting |
Annotation |
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This article is about Discriminative Semi-supervised Training for Keyword Search in Low Resource Languages.
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Abstract |
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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. |
BibTeX: |
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@INPROCEEDINGS{
author = {Roger Hsiao and Tim Ng and Franti{\v{s}}ek Gr{\'{e}}zl and
Damianos Karakos and Stavros Tsakalidis and Long Nguyen and
Richard Schwartz},
title = {Discriminative Semi-supervised Training for Keyword Search
in Low Resource Languages},
pages = {440--445},
booktitle = {Proceedings of ASRU 2013},
year = {2013},
location = {Olomouc, CZ},
publisher = {IEEE Signal Processing Society},
ISBN = {978-1-4799-2755-5},
language = {english},
url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10508}
} |
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