Conference paper

FÉR Radek, MATĚJKA Pavel, GRÉZL František, PLCHOT Oldřich and ČERNOCKÝ Jan. Multilingual Bottleneck Features for Language Recognition. In: Proceedings of Interspeech 2015. Dresden: International Speech Communication Association, 2015, pp. 389-393. ISBN 978-1-5108-1790-6. ISSN 1990-9772.
Publication language:english
Original title:Multilingual Bottleneck Features for Language Recognition
Title (cs):Multilingvální příznaky z neuronové sítě s úzkým hrdlem pro rozpoznávání jazyka
Pages:389-393
Proceedings:Proceedings of Interspeech 2015
Conference:INTERSPEECH 2015
Place:Dresden, DE
Year:2015
ISBN:978-1-5108-1790-6
Journal:Proceedings of Interspeech, Vol. 2015, No. 09, FR
ISSN:1990-9772
Publisher:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2015/fer_interspeech2015_IS150860.pdf [PDF]
Keywords
multilingual training, stacked bottleneck features, language identification
Annotation
In this work, we applied multilingual training paradigm of SBN neural networks to extract linguistically rich features.
Abstract
In this paper, we investigate Multilingual Stacked Bottleneck Features (SBN) in language recognition domain. These features are extracted using bottleneck neural networks trained on data from multiple languages. Previous results have shown benefits of multilingual training of SBN feature extractor for speech recognition. Here we focus on its impact on language recognition. We present results obtained with monolingual and multilingual networks, and their fusions. Using multilingual features, we obtain 16% relative improvement on 3 s condition of NIST LRE09 dataset with respect to features trained on a single language
BibTeX:
@INPROCEEDINGS{
   author = {Radek F{\'{e}}r and Pavel Mat{\v{e}}jka and Franti{\v{s}}ek
	Gr{\'{e}}zl and Old{\v{r}}ich Plchot and Jan
	{\v{C}}ernock{\'{y}}},
   title = {Multilingual Bottleneck Features for Language Recognition},
   pages = {389--393},
   booktitle = {Proceedings of Interspeech 2015},
   journal = {Proceedings of Interspeech},
   volume = {2015},
   number = {09},
   year = {2015},
   location = {Dresden, DE},
   publisher = {International Speech Communication Association},
   ISBN = {978-1-5108-1790-6},
   ISSN = {1990-9772},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10966}
}

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