Conference paper

GRÉZL František, KARAFIÁT Martin and JANDA Miloš. Study of Probabilistic and Bottle-Neck Features in Multilingual Environment. In: Proceedings of ASRU 2011. Hilton Waikoloa Village, Big Island, Hawaii: IEEE Signal Processing Society, 2011, pp. 359-364. ISBN 978-1-4673-0366-8.
Publication language:english
Original title:Study of Probabilistic and Bottle-Neck Features in Multilingual Environment
Title (cs):Studie Pravděpodobnostních a Bottle-neck Parametrů v Multi-jazykovém Prostředí
Proceedings:Proceedings of ASRU 2011
Conference:IEEE 2011 Workshop on Automatic Speech Recognition and Understanding
Place:Hilton Waikoloa Village, Big Island, Hawaii, US
Publisher:IEEE Signal Processing Society
Neural networks, multilingual apeech recognition, Botle-Neck features, probabilistic features
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.
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.
   author = {Franti{\v{s}}ek Gr{\'{e}}zl and Martin
	Karafi{\'{a}}t and Milo{\v{s}} Janda},
   title = {Study of Probabilistic and Bottle-Neck Features in
	Multilingual Environment},
   pages = {359--364},
   booktitle = {Proceedings of ASRU 2011},
   year = 2011,
   location = {Hilton Waikoloa Village, Big Island, Hawaii, US},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4673-0366-8},
   language = {english},
   url = {}

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