Publication detail

The Language-Independent Bottleneck Features

VESELÝ, K. KARAFIÁT, M. GRÉZL, F. JANDA, M. EGOROVA, E.

Original Title

The Language-Independent Bottleneck Features

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

The paper is about language-independent bottleneck features, which are generated by Multi-lingual Neural Network. This leads to features which are not biased towards any of the source languages, making the features effectively language independent.

Keywords

Language-Independent Bottleneck Features, Multilingual Neural Network

Authors

VESELÝ, K.; KARAFIÁT, M.; GRÉZL, F.; JANDA, M.; EGOROVA, E.

RIV year

2012

Released

5. 12. 2012

Publisher

IEEE Signal Processing Society

Location

Miami

ISBN

978-1-4673-5124-9

Book

Proceedings of IEEE 2012 Workshop on Spoken Language Technology

Pages from

336

Pages to

341

Pages count

6

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/vesely_slt2012_0000336.pdf

BibTex

@inproceedings{BUT97015,
  author="Karel {Veselý} and Martin {Karafiát} and František {Grézl} and Miloš {Janda} and Ekaterina {Egorova}",
  title="The Language-Independent Bottleneck Features",
  booktitle="Proceedings of IEEE 2012 Workshop on Spoken Language Technology",
  year="2012",
  pages="336--341",
  publisher="IEEE Signal Processing Society",
  address="Miami",
  doi="10.1109/SLT.2012.6424246",
  isbn="978-1-4673-5124-9",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/vesely_slt2012_0000336.pdf"
}