Publication detail

Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system

JANČÍK, Z. PLCHOT, O. BRUMMER, N. BURGET, L. GLEMBEK, O. HUBEIKA, V. KARAFIÁT, M. MATĚJKA, P. MIKOLOV, T. STRASHEIM, A. ČERNOCKÝ, J.

Original Title

Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system

English Title

Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system

Type

conference paper

Language

en

Original Abstract

This paper is on data selection and calibration issues in automatic language recognition. The paper is based on investigation with BUT-AGNITIO NIST LRE 2009 system.

English abstract

This paper is on data selection and calibration issues in automatic language recognition. The paper is based on investigation with BUT-AGNITIO NIST LRE 2009 system.

Keywords

speech, automatic, language, recognition, evaluation

RIV year

2010

Released

13.09.2010

Publisher

International Speech Communication Association

Location

Brno

ISBN

978-80-214-4114-9

Book

Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

215

Pages to

221

Pages count

7

URL

Documents

BibTex


@inproceedings{BUT34924,
  author="Zdeněk {Jančík} and Oldřich {Plchot} and Niko {Brummer} and Lukáš {Burget} and Ondřej {Glembek} and Valiantsina {Hubeika} and Martin {Karafiát} and Pavel {Matějka} and Tomáš {Mikolov} and Albeert {Strasheim} and Jan {Černocký}",
  title="Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system",
  annote="This paper is on data selection and calibration issues in automatic language
recognition. The paper is based on investigation with BUT-AGNITIO NIST LRE 2009
system.",
  address="International Speech Communication Association",
  booktitle="Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop",
  chapter="34924",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  year="2010",
  month="september",
  pages="215--221",
  publisher="International Speech Communication Association",
  type="conference paper"
}