Publication detail

On the use of deep feedforward neural networks for automatic language identification

LOPEZ-MORENO, I. GONZALEZ-DOMINGUEZ, J. MARTÍNEZ GONZÁLEZ, D. PLCHOT, O. GONZALEZ-RODRIGUEZ, J. MORENO, P.

Original Title

On the use of deep feedforward neural networks for automatic language identification

Type

journal article in Web of Science

Language

English

Original Abstract

In this work, we presented an extensive study of the use of deep neural networks for LID. Guided by the success of DNNs for acoustic modelling, we explored their capability to learn discriminative language information from speech signals.

Keywords

LID; DNN; Bottleneck; i-vectors

Authors

LOPEZ-MORENO, I.; GONZALEZ-DOMINGUEZ, J.; MARTÍNEZ GONZÁLEZ, D.; PLCHOT, O.; GONZALEZ-RODRIGUEZ, J.; MORENO, P.

Released

6. 5. 2016

ISBN

0885-2308

Periodical

COMPUTER SPEECH AND LANGUAGE

Year of study

2016

Number

40

State

United Kingdom of Great Britain and Northern Ireland

Pages from

46

Pages to

59

Pages count

14

URL

http://www.sciencedirect.com/science/article/pii/S088523081530036X

BibTex

@article{BUT130983,
  author="Ignacio {Lopez-Moreno} and Javier {Gonzalez-Dominguez} and David {Martínez González} and Oldřich {Plchot} and Joaquin {Gonzalez-Rodriguez} and Pedro {Moreno}",
  title="On the use of deep feedforward neural networks for automatic language identification",
  journal="COMPUTER SPEECH AND LANGUAGE",
  year="2016",
  volume="2016",
  number="40",
  pages="46--59",
  doi="10.1016/j.csl.2016.03.001",
  issn="0885-2308",
  url="http://www.sciencedirect.com/science/article/pii/S088523081530036X"
}

Documents

lopez-moreno_csl2016_za FIT_plchot.pdf