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ICASSP
2009
IEEE

Gaussian Backend design for open-set language detection

10 years 4 months ago
Gaussian Backend design for open-set language detection
This paper proposes a new approach to the challenging open-set language detection task. Most state-of-the-art approaches make use of data sources with several out-of-set languages to model such languages. In the proposed approach, no additional data from out-ofset languages is required, only date from the target languages is used. Experiments are conducted using the LRE-05 and the LRE-07 evaluation data sets with the 30s condition. A Cavg of 4.5% and 3.4% is obtained on these data set, respectively. These results are comparable with other reported results.
Mohamed Faouzi BenZeghiba, Jean-Luc Gauvain, Lori
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Mohamed Faouzi BenZeghiba, Jean-Luc Gauvain, Lori Lamel
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