Publication detail

Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting

GRÉZL, F. KARAFIÁT, M.

Original Title

Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting

Type

conference paper

Language

English

Original Abstract

This article describes the Bottle-Neck feature extraction structures for multilingual training and porting.

Keywords

DNN topology; Stacked Bottle-Neck; feature extraction; multilingual training; system porting

Authors

GRÉZL, F.; KARAFIÁT, M.

Released

9. 5. 2016

Publisher

Elsevier Science

Location

Yogyakarta

ISBN

1877-0509

Periodical

Procedia Computer Science

Year of study

2016

Number

81

State

Kingdom of the Netherlands

Pages from

144

Pages to

151

Pages count

8

URL

http://ac.els-cdn.com/S1877050916300564/1-s2.0-S1877050916300564-main.pdf?_tid=86f349d0-241e-11e6-9aa8-00000aab0f6b&acdnat=1464362601_c282a52b5e30264cf0bbd7b0e0d440ba

BibTex

@inproceedings{BUT130985,
  author="František {Grézl} and Martin {Karafiát}",
  title="Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting",
  booktitle="Procedia Computer Science",
  year="2016",
  journal="Procedia Computer Science",
  volume="2016",
  number="81",
  pages="144--151",
  publisher="Elsevier Science",
  address="Yogyakarta",
  doi="10.1016/j.procs.2016.04.042",
  issn="1877-0509",
  url="http://ac.els-cdn.com/S1877050916300564/1-s2.0-S1877050916300564-main.pdf?_tid=86f349d0-241e-11e6-9aa8-00000aab0f6b&acdnat=1464362601_c282a52b5e30264cf0bbd7b0e0d440ba"
}