Faculty of Information Technology, BUT

Publication Details

Adapting Multilingual Neural Network Hierarchy to a New Language

GRÉZL František and KARAFIÁT Martin. Adapting Multilingual Neural Network Hierarchy to a New Language. In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Under- resourced Languages SLTU-2014. – St. Petersburg, Russia, 2014. St. Petersburg: International Speech Communication Association, 2014, pp. 39-45. ISBN 978-5-8088-0908-6.
Czech title
Adaptace multilingvální hierarchie neuronových sítí pro nový jazyk
Type
conference paper
Language
english
Authors
URL
Keywords
feature extraction, Bottle-Neck features, neural network adaptation, multilingual neural networks, Stacked Bottle- Neck structure
Abstract
This work addresses a thorough evaluation of multilingual techniques for adapting feature extraction neural network hierarchy - Stack Bottle-Neck system.
Annotation
The neural network based features became an inseparable part of state-of-the-art LVCSR systems. With the increasing accent on fast development of ASR system on limited resources, there is an effort to alleviate the need of large amount of transcribed in-domain data. One successful way is to use data from other languages. We present extensive evaluation of several strategies to adapt hierarchical neural network in search for the most effective one. To avoid the bias towards one target language, our strategies were evaluated on five languages. Also, several multilingual neural network hierarchies were trained on two sets of languages. Thus the results provide solid insight into the problem of adapting hierarchical system.
Published
2014
Pages
39-45
Proceedings
Proceedings of the 4th International Workshop on Spoken Language Technologies for Under- resourced Languages SLTU-2014. – St. Petersburg, Russia, 2014
Conference
The 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU'14), St. Peterburg, RU
ISBN
978-5-8088-0908-6
Publisher
International Speech Communication Association
Place
St. Petersburg, RU
BibTeX
@INPROCEEDINGS{FITPUB10565,
   author = "Franti\v{s}ek Gr\'{e}zl and Martin Karafi\'{a}t",
   title = "Adapting Multilingual Neural Network Hierarchy to a New Language",
   pages = "39--45",
   booktitle = "Proceedings of the 4th International Workshop on Spoken Language Technologies for Under- resourced Languages SLTU-2014. – St. Petersburg, Russia, 2014",
   year = 2014,
   location = "St. Petersburg, RU",
   publisher = "International Speech Communication Association",
   ISBN = "978-5-8088-0908-6",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10565"
}
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