Publication Details

Study of Probabilistic and Bottle-Neck Features in Multilingual Environment

GRÉZL, F.; KARAFIÁT, M.; JANDA, M. Study of Probabilistic and Bottle-Neck Features in Multilingual Environment. Proceedings of ASRU 2011. Hilton Waikoloa Village, Big Island, Hawaii: IEEE Signal Processing Society, 2011. p. 359-364. ISBN: 978-1-4673-0366-8.
Czech title
Studie Pravděpodobnostních a Bottle-neck Parametrů v Multi-jazykovém Prostředí
Type
conference paper
Language
English
Authors
Grézl František, Ing., Ph.D. (DCGM)
Karafiát Martin, Ing., Ph.D. (DCGM)
Janda Miloš, Ing.
URL
Keywords

Neural networks, multilingual apeech recognition, Botle-Neck features, probabilistic features

Abstract

The article studies properties of features obtained using neural networks in milti=lingual recognition systems. The neural networks are trained on particular data and thus it is interesting to observe bahavior of these features when used on data from different language.

Annotation

This study is focused on the performance of Probabilistic and Bottle-Neck features on different language than they were trained for. It is shown, that such porting is possible and that the features are still competitive to PLP features. Further, several combination techniques are evaluated. The performance of combined features is close to the best performing system. Finally, bigger NNs were trained on large data from different domain. The resulting features outperformed previously trained systems and combination with them further improved the system performance.

Published
2011
Pages
359–364
Proceedings
Proceedings of ASRU 2011
ISBN
978-1-4673-0366-8
Publisher
IEEE Signal Processing Society
Place
Hilton Waikoloa Village, Big Island, Hawaii
BibTeX 
@inproceedings{BUT76454,
  author="František {Grézl} and Martin {Karafiát} and Miloš {Janda}",
  title="Study of Probabilistic and Bottle-Neck Features in Multilingual Environment",
  booktitle="Proceedings of ASRU 2011",
  year="2011",
  pages="359--364",
  publisher="IEEE Signal Processing Society",
  address="Hilton Waikoloa Village, Big Island, Hawaii",
  isbn="978-1-4673-0366-8",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/grezl_asru2011_00359.pdf"
}
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