Publication detail

PCA-based Feature Extraction for Phonotactic Language Recognition

MIKOLOV, T. PLCHOT, O. GLEMBEK, O. MATĚJKA, P. BURGET, L. ČERNOCKÝ, J.

Original Title

PCA-based Feature Extraction for Phonotactic Language Recognition

English Title

PCA-based Feature Extraction for Phonotactic Language Recognition

Type

conference paper

Language

en

Original Abstract

This paper is on PCA-based Feature Extraction for Phonotactic Language Recognition. This technique improves speed of the training, in some cases more than 1000 times.

English abstract

This paper is on PCA-based Feature Extraction for Phonotactic Language Recognition. This technique improves speed of the training, in some cases more than 1000 times.

Keywords

speech, language recognition, automatic recognition, large amounts of data.

RIV year

2010

Released

25.06.2010

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

251

Pages to

255

Pages count

5

URL

Documents

BibTex


@inproceedings{BUT34853,
  author="Tomáš {Mikolov} and Oldřich {Plchot} and Ondřej {Glembek} and Pavel {Matějka} and Lukáš {Burget} and Jan {Černocký}",
  title="PCA-based Feature Extraction for Phonotactic Language Recognition",
  annote="This paper is on PCA-based Feature Extraction for Phonotactic Language
Recognition. This technique improves speed of the training, in some cases more
than 1000 times.",
  address="International Speech Communication Association",
  booktitle="Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop",
  chapter="34853",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  year="2010",
  month="june",
  pages="251--255",
  publisher="International Speech Communication Association",
  type="conference paper"
}